Senior Data Engineer

As a note for all engineering positions: in light of the increase in fraudulent applications and AI-driven candidate impersonation, we have instituted rigorous measures throughout the hiring process to ensure the authenticity of candidates.About UsAt People Data Labs (PDL), we pride ourselves on being the premier provider of people and company data. Our mission is to handle the complexities of data collection and standardization, enabling our clients to concentrate on developing and scaling innovative, compliant data solutions. Our primary focus is to deliver the highest quality data available by integrating thousands of responsibly sourced datasets into a single, developer-friendly source of truth. Leading organizations worldwide rely on PDL’s workforce data to enhance recruiting platforms, power AI models, create targeted audiences, and much more.We seek team members who embody a strong sense of ownership while embracing a collaborative spirit. Our clients face intricate challenges, and we can only help them succeed as a united team. Our Data Engineering Team is the driving force behind our success, and we are on the lookout for top-tier talent.If you aspire to be part of a team exploring the next frontier of data-as-a-service (DaaS) with significant autonomy and opportunities for impactful contributions, this role may be perfect for you. We value engineers who are thoughtful, innovative, and willing to boldly experiment. At PDL, we embrace failure as long as it leads to learning and growth.Key ResponsibilitiesDevelop infrastructure for the ingestion, transformation, and loading of an ever-increasing volume of data from diverse sources utilizing Spark, SQL, AWS, and Databricks.Create an organic entity resolution framework capable of accurately merging hundreds of billions of individual entities into clean, usable datasets.Design and implement CI/CD pipelines and anomaly detection systems aimed at continuously enhancing the quality of data we deliver to production.Innovate solutions for complex, often ill-defined data engineering and data science challenges.Required Technical Skills5-7+ years of relevant experience with demonstrable examples of strategic technical problem-solving and implementation.Solid grounding in software development principles.Proficiency in Python.Expertise in Apache Spark (Java, Scala, and/or Python-based).Familiarity with AWS services and data engineering best practices.

Join Storable as a Senior Data Engineer and be a part of our mission to revolutionize the storage industry. Our advanced platform is designed to empower businesses in managing, tracking, and expanding their self-storage operations. We are seeking a skilled Senior Data Engineer to enhance our data-driven team. At Storable, we harness the latest technologies to boost data efficiency, accessibility, and insights, enabling our teams to make informed decisions and foster significant growth. In this role, you will contribute to the development and maintenance of scalable data systems that underpin analytics, reporting, and product innovation. You will collaborate closely with senior engineers and cross-functional teams to ensure our data remains reliable, accessible, and actionable throughout the organization.

Overview At Abax Health, we are dedicated to bridging the gaps in care and enhancing the connectivity of healthcare data to elevate patient and provider outcomes. We are in search of a proficient Senior Database Engineer who will spearhead the design, optimization, and management of enterprise-level data systems that drive our analytics, reporting, and business intelligence initiatives. This pivotal role combines extensive technical database expertise with architectural leadership, ensuring performance, scalability, and data integrity throughout our data ecosystem. The Senior Database Engineer will operate at the crossroads of engineering and business operations, tasked with maintaining fast, reliable, and scalable data pipelines and warehouses as we transition from an early-stage client base to a multifaceted enterprise. Key Responsibilities Architect and enhance data warehouse platforms and the supporting database systems. Design and implement efficient data ingestion and transformation pipelines (ETL/ELT) utilizing tools such as ADF, DBT, or equivalents to guarantee reliable data ingestion from diverse sources (SFTP, HL7, FHIR, etc.). Develop and sustain logical and physical data models that back internal analytics, dashboards, and client-facing reporting applications. Optimize database performance, scalability, and reliability through tuning, indexing strategies, and proactive monitoring across both production and staging environments. Lead strategic data initiatives by establishing architectural standards that promote scalability, efficiency, and cost-effectiveness across the data platform. Collaborate with software engineering, implementation, operations, and business teams to ensure alignment on data requirements and governance practices. Administer, maintain, and monitor database systems to uphold availability, integrity, recoverability, and secure access in compliance with disaster recovery and business continuity best practices. Implement source control and DevOps methodologies (e.g., GitHub, ADO, etc.) for database change management, CI/CD automation, and deployment of database alterations. Mentor junior engineers in SQL development, reporting, analytics, and performance tuning best practices. Establish and enforce data governance standards for security, compliance, and consistency across all environments. Qualifications Over 10 years of experience in database engineering, architecture, or administration, particularly with production-grade SQL Server environments. Demonstrated experience in designing and automating ETL pipelines and data warehouse solutions that support analytics, reporting, and business intelligence platforms (e.g., Power BI, Tableau). Deep expertise in database performance tuning, optimization, and maintenance. Solid understanding of data governance standards and best practices. Effective communication skills for cross-functional collaboration.

Join Leap as a Senior Data Engineer and be a key player in shaping the future of data-driven decision-making. In this role, you will design and implement data solutions that drive analytics and business intelligence initiatives. You will collaborate with cross-functional teams to gather requirements and translate them into scalable data architectures.

Join ICON as a Senior Data Engineer in our Data Intelligence & Systems Architecture (DISA) team, where you will be instrumental in designing, developing, and expanding our enterprise data platform using Palantir Foundry. In this pivotal role, you will oversee the ingestion, modeling, and activation of data that drives reporting, strategic decision-making, and intelligent automation throughout the organization. Rather than merely constructing data pipelines, you will be architecting a Digital Twin for an industrial robotics and construction company. Your collaboration will span across departments including Supply Chain & Manufacturing, Logistics, Engineering Support Services, Software, Field Operations, and Technology R&D. Together, you will centralize high-value data sources, create scalable assets, and facilitate critical business applications, from real-time analytics to AI/ML-enhanced workflows and decision-making processes. This highly technical and cross-functional position is perfect for someone with robust data engineering expertise, a profound curiosity about the business, and a proactive mindset. This role is based at ICON’s headquarters in Austin, Texas, and reports directly to the Senior Director of Operations.

Join Hinge: The Dating App Designed for Lasting ConnectionsIn an age where meaningful relationships are increasingly elusive, Hinge is dedicated to fostering intimate connections that combat loneliness. Our team is passionate about analyzing user behavior to enhance the dating experience, with our ultimate success measured by the number of successful dates we facilitate. With a global user base in the millions, Hinge has become the premier app for those seeking meaningful relationships.Role Overview: As a Senior Data Engineer at Hinge, you will play a vital role in developing key data processes and contributing to a cutting-edge data pipeline that supports our strategic decision-making. Your contributions will not only solve complex challenges but also empower our analytical teams, directly impacting the love lives of countless individuals. You will enhance core functionalities and implement essential data pipelines that serve both the Data Engineering team and the broader organization, all while tackling real-world problems within a big data architecture.

Join Aya Healthcare, a proud recipient of multiple Top Workplace awards! We are in search of a seasoned Senior Data Engineer to become an integral part of our Data Operations team. In this hands-on senior role, you will be responsible for designing, developing, and optimizing high-volume, high-performance data infrastructures and pipelines essential for client integrations. Your expertise will be pivotal in shaping our data architecture, spearheading complex initiatives, and guiding junior team members.This is a unique opportunity to join a dynamic team in a fast-paced environment, where your leadership and strategic insights will have a direct impact on our business outcomes.

The OpportunityJoin Enigma at a pivotal moment as we prepare to unveil our next generation of small business intelligence products, informed by years of industry experience. We are in search of a seasoned Senior Data Engineer who will play a crucial role in shaping the future of these innovative products. Your contributions will significantly enhance the accuracy, scalability, and predictive analytics of our data platform, directly impacting our clients' key business strategies.The RoleAs a Senior Data Engineer, your primary responsibility will be to design, construct, and manage our foundational small business data product. You'll work closely with cross-functional teams to develop new product functionalities, starting from raw data sources, through scalable data pipelines and models, to the customer interface. Our culture emphasizes customer focus and complete ownership, measuring your success by the value delivered and the technical excellence of our product.What You’ll DoIdentify and address the unmet needs of our customers through thorough data exploration, prototyping, and evaluation, culminating in the development of robust and maintainable data pipelines.Construct scalable and maintainable data systems that narrate the stories of millions of U.S. small businesses, utilizing tools like Databricks SQL, PySpark, and MLFlow.Leverage our pioneering data infrastructure designed for iterative development and experimentation, utilizing Dagster for orchestration and LakeFS for data version control.Employ a data-driven, first-principles approach to problem-solving, favoring straightforward and elegant solutions while being capable of deploying advanced models and techniques when necessary.Motivate your colleagues to excel while nurturing a collaborative and supportive team environment.What Makes This Role Exciting?Ownership and Impact: Collaborate directly with customers and internal teams to develop product features in a high-trust environment.Technical Challenge: Solve complex data and engineering challenges, balancing innovation speed with scalability and reliability.Learning: Engage with unique, impactful data challenges that demand creative solutions and cutting-edge methodologies.

About AlembicAlembic is at the forefront of transforming marketing strategies, demonstrating the actual ROI of marketing initiatives. Our cutting-edge Alembic Marketing Intelligence Platform employs advanced algorithms and AI models to address this longstanding challenge effectively. By joining our team, you'll contribute to the development of tools that deliver unparalleled insights into how marketing influences revenue, empowering a growing roster of Fortune 500 companies to make data-driven decisions with confidence.About the RoleIn your role as a Senior Data Engineer at Alembic, you will play a crucial role in our data platform. You will be responsible for creating scalable and dependable data pipelines, optimizing storage solutions, and facilitating both real-time and batch analytics. Collaborating closely with data scientists, software engineers, and product leaders, you will design and implement robust data architectures that propel our mission forward.Key ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines that efficiently ingest, process, and transform extensive volumes of structured and unstructured data.Optimize data storage solutions utilizing modern data lakehouse architectures and industry best practices to enhance cost-effectiveness, performance, and reliability.Collaborate with data scientists and engineers to seamlessly integrate machine learning models and analytical workloads into production environments.Ensure the integrity, quality, and security of data by implementing monitoring, alerting, and governance best practices.Work with cloud-based data warehouses and distributed data processing frameworks to support our data initiatives.Continuously assess and implement innovative technologies to enhance data infrastructure and operational efficiency.What We’re Looking For10+ years of experience in data engineering, software engineering, or a related field.Strong proficiency in SQL and Python for data processing.Experience with contemporary data warehousing and lakehouse solutions (e.g., Iceberg or similar).Expertise in distributed systems and big data technologies (Apache Spark, Hadoop, Kafka, Flink).Hands-on experience with cloud platforms (AWS, GCP, Azure) and related data services.Deep understanding of data management and governance practices.

SteerBridge Strategies is a forward-thinking technology firm dedicated to providing innovative, mission-driven solutions for both the U.S. Government and private sector. Our team leverages extensive experience in federal acquisition, digital transformation, and emerging technologies to offer agile, commercial-grade capabilities that enhance operational effectiveness and drive measurable mission success.At SteerBridge, our greatest asset is our people—especially the veterans whose leadership, innovative problem-solving abilities, and unwavering commitment to excellence elevate every project we undertake. We don't just recruit top-tier talent; we nurture it, creating meaningful career pathways for veterans, military spouses, and professionals who share our enthusiasm for advancing technology and enhancing the missions we support.We are currently seeking a Senior Data Engineer to join our team in supporting the Department of Veterans Affairs (VA) in its efforts to modernize disability claims processing systems. This initiative aims to enhance the accuracy, efficiency, and timeliness of services delivered to veterans.As a Senior Data Engineer, you will play a pivotal role in designing, developing, and optimizing scalable ETL pipelines, data lakes, and data retrieval systems. Collaborating with cross-functional teams, you will ensure data integrity, develop automated workflows, and support compliance reporting and analytics capabilities.

At PitchBook, a subsidiary of Morningstar, we are committed to looking ahead. We continually innovate, evolve, and invest in our team to unlock the potential in everyone. Our collaborative spirit and vibrant culture make our workplace both energetic and enjoyable.Our comprehensive learning programs and mentorship initiatives foster a culture of curiosity, encouraging us to seek new solutions and improved methods. In a fast-paced industry with high aspirations, we embrace challenges and ambiguity, thriving when we push our limits. We are open to taking risks, learning quickly from our failures, and striving for excellence.If you bring a positive attitude and a willingness to roll up your sleeves to get things done, PitchBook is the perfect place for you.About the Role:As a pivotal member of our Product and Engineering team, you will collaborate with a group of innovative thinkers and problem solvers who are dedicated to enhancing the positive impact we have on our customers and our organization daily. We prioritize curiosity and the pursuit of better practices, with a strong emphasis on customer empathy in our product innovations.We believe that greatness comes from collaboration and diverse perspectives; hence, we work closely with partners globally. As a team, we assume positive intent, value constructive dialogue, and cultivate a respectful workplace grounded in integrity and growth. We invest significantly in our employees who are eager to learn and evolve. Join us and grow with PitchBook!

Join Ethenalabs as a Senior Data Engineer, where you will play a pivotal role in transforming data into actionable insights. As part of our globally remote team, you will work on cutting-edge data engineering projects that drive innovation and efficiency across various domains.

About Us: At Carefeed, we empower senior living and long-term care providers with a comprehensive platform that streamlines operations, enhancing the experience for both staff and residents. Our innovative solution replaces outdated paper processes, phone calls, and disparate systems with an integrated digital approach, allowing teams to focus on what truly matters—caring for residents and their families.We seamlessly integrate with existing EHR and HR systems, reducing operational strain while keeping communities organized. Carefeed is designed for ease of use, functionality, and the realities of multi-community care, helping providers maintain efficiency and confidence in their operations.With thousands of communities in the US and Canada relying on us, Carefeed is dedicated to supporting organizations in delivering exceptional experiences for residents, families, and caregivers alike.About the Opportunity: We are seeking a Senior Data Engineer to spearhead the development of our data infrastructure and enhance our developer tools. In this pivotal role, you will design and implement robust data systems, develop tools that improve developer productivity, and create the foundational technology for impactful data-driven products.This position is perfect for an experienced data engineer ready to transition into infrastructure management. Your primary project will involve designing and constructing a central data lake for 2026, alongside the necessary pipelines (e.g., SQS, Kafka) to support it. As the inaugural data engineer at Carefeed, you will play a key role in guiding design and tooling decisions and executing those plans.As part of our Infrastructure team, you will also engage in standard infrastructure tasks, including observability and deployments.

Front Careers seeks a Senior Data Engineer based in San Francisco, CA. This position centers on building and maintaining data systems that power analytics and reporting throughout the organization. Key responsibilities Design and maintain data architecture to meet analytics and reporting requirements Develop, optimize, and support data pipelines for reliability and scalability Collaborate with teams across the company to improve data quality, accessibility, and security Enhance and maintain the data infrastructure supporting company operations Role overview This role focuses on ensuring that data flows efficiently and securely, enabling teams to access the information they need for business decisions. The Senior Data Engineer will play a central part in shaping how data is managed and used at Front Careers.

Join 1upHealth as a Senior Data Engineer and play a pivotal role in enhancing our Core Data Platform. We are looking for innovative thinkers who are passionate about data and technology. Your expertise will help us drive the development of cutting-edge data solutions that empower healthcare providers and improve patient outcomes. In this fully remote position, you will collaborate with cross-functional teams to create scalable data architectures and solutions, ensuring data integrity and accessibility.

Spear AI is on the lookout for an experienced Data Engineer to join our team as we develop a pioneering data management and AI platform focused on maritime domain awareness. As a growing defense contractor, we pride ourselves on delivering innovative solutions that bolster national security. Our organizational culture promotes a flat structure, allowing every team member to have a significant impact, collaborate closely with leadership, and engage in meaningful projects across our Hardware, Software, or Services divisions. You will work alongside a talented group of professionals dedicated to excellence and enhancing the capabilities that safeguard our nation.At Spear AI, we specialize in the creation of sonobuoy sensors that gather edge data from aquatic environments, and we collaborate with the U.S. Navy to process their SONAR data. In this role, you will have the opportunity to contribute to real-world projects that directly influence the capabilities of warfighters and the success of their missions.Key ResponsibilitiesAs a member of our dynamic team, you will take on a variety of responsibilities, including:Developing real-time data pipelines utilizing MQTT and Redpanda for effective stream processing.Creating offline data pipelines with Dagster for batch processing.Parsing and processing binary message formats from diverse data sources.Building robust data warehouses using Postgres, Apache Iceberg, Parquet, and S3.Designing data models that facilitate high-performance querying.Validating and normalizing various data sources.Enhancing local development and CI/CD processes using contemporary tools and GitHub Actions.Your ProfileWe are looking for a candidate with a strong foundation in Software Engineering who embodies our core values:Detail-oriented with a passion for code quality; you ensure your code is well-structured, formatted, and thoroughly tested.Committed to correctness; you take pride in building reliable libraries and services that users can trust.Performance-focused; you continually strive to optimize query speeds and overall system efficiency.Inquisitive and proactive; you enjoy delving into the intricacies of systems, developing prototypes, and conducting experiments to deepen your understanding.

Job Overview:Join our dynamic team as a Senior Data Engineer, where you will play a pivotal role in designing and implementing robust data pipelines, enterprise data products, and AI-driven tools. Your expertise will be essential in deploying API and integration platforms, as well as building seamless system integrations across Mariner’s suite of enterprise platforms.In this role, you will harness ETL/ELT tools and methodologies, bridging cloud and legacy databases, APIs, and automation systems to create scalable business solutions. You will lead our CI/CD and Infrastructure as Code (IaC) strategies, mentor junior engineers, conduct code reviews, manage development projects, and uphold software lifecycle best practices. Collaborating closely with teams in Data Management, Business Intelligence, Operations, Trading, Compliance, and IT, you will contribute to Mariner’s expanding portfolio of businesses.

Komodo Health is looking for a Senior Data Engineer to strengthen its data foundations. This fully remote role in the United States centers on building and maintaining the systems that support data-driven work across the company. Role overview This position focuses on designing, developing, and maintaining data pipelines and infrastructure. The goal is to make sure data remains accurate and accessible for teams throughout the organization. Collaboration Senior Data Engineers at Komodo Health work closely with colleagues from different departments. Cross-functional teamwork is essential to understand data needs and to deliver solutions that support business decisions. Key responsibilities Design and develop data pipelines and systems Maintain and improve data infrastructure Support data accuracy and accessibility Collaborate with teams across the organization

Mactores has established itself as a frontrunner in delivering innovative data platform solutions since 2008. We empower businesses to unlock their potential through automated, agile, and secure End-to-End Data Solutions. Collaborating closely with our clients, we strategize and guide them on their digital transformation journey, whether through assessments, migrations, or modernization efforts.Mactores is on the lookout for a Senior AWS Data Engineer to enhance our dynamic team. The ideal candidate will possess a profound expertise in PySpark and SQL, coupled with hands-on experience in managing data pipelines utilizing Amazon EMR or Amazon Glue. Proficiency in data modeling and end-user querying via Amazon Redshift or Snowflake, along with familiarity with Amazon Athena, Presto, and orchestration tools such as Airflow, is essential for this role.