Data Engineer

Valorem Reply is a distinguished digital transformation firm committed to providing innovative, data-driven solutions that enhance enterprise operations, modernize IT infrastructure, elevate customer experience, and facilitate product transformation. With a strong emphasis on leveraging Microsoft technologies, we deliver scalable and agile digital services, strategic business models, and user-centric designs that redefine how our clients achieve their objectives. We are currently seeking a talented Manager for our Data & AI team. This leadership position will focus on the development of modern data platforms utilizing Microsoft cloud technologies, such as Fabric and Databricks, for our valued clients. The ideal candidate will not only guide the technical direction of our practice but also remain current with emerging trends in data technology. Exceptional communication skills are essential, as you will be a trusted advisor to our clients. A solid understanding of data governance and the ability to counsel clients on relevant frameworks are critical for success in this role. This is an exciting opportunity for individuals who thrive in collaborative environments, appreciate flexibility and autonomy in their work, and enjoy tackling complex challenges.

PrizePicks is looking for a Data Platform Engineer to join the team. This position centers on building and maintaining the company's core data infrastructure. Ensuring that data moves reliably and remains accessible throughout the organization is a key part of the job. Role overview Work involves supporting the systems that handle data flow and storage. The engineer will collaborate closely with colleagues from a range of disciplines to make sure data needs are met across different teams. Location The team prefers candidates based in Atlanta, GA, but remote applicants will also be considered.

Join Our Team as a Data Engineer!At FanDuel, we are excited to announce an opportunity for a Data Engineer to join our expanding data engineering team. In this pivotal role, you will be instrumental in designing, developing, and maintaining the robust data pipelines and infrastructure that underpin analytics, machine learning, and strategic business decisions across our organization. Collaborating closely with various stakeholders, you will support impactful data initiatives and ensure that our data systems are efficient and reliable.The ideal candidate is a proactive technical expert with a passion for working with large-scale data, adept at solving real-world challenges, executing projects independently, and eager to learn in a fast-paced setting. If you are enthusiastic about this opportunity and want to thrive within a vibrant company culture, we would love to hear from you!Your Responsibilities:Build & Maintain Data Pipelines:Design, implement, and manage scalable batch and streaming data pipelines to support analytics and operational needs.Create clean, efficient, and well-documented code using technologies such as Python, SQL, and Spark.Guarantee the reliability and timely delivery of accurate data.Lead initiatives to enhance and develop well-defined data products.Collaborate Across Teams:Engage with data analysts, data scientists, and product managers to clarify requirements and deliver actionable data solutions.Translate business inquiries into engineering tasks and contribute to technical project planning.Participate in code reviews, sprint planning, and retrospectives as part of an agile team.Contribute to the establishment of best practices across the team.Ensure Data Quality & Operations:Monitor data pipelines and promptly troubleshoot any issues that arise.Drive the reliability and continuous enhancement of our data platforms and pipelines.Implement data quality checks and engage in observability and testing practices.Document data sources, transformation processes, and architectural decisions to support long-term maintainability.

Engineering at TractianAt Tractian, our Engineering team is leading the way in creating state-of-the-art infrastructure, technologies, and products to leverage the potential of IoT data. Our skilled engineers work collaboratively to develop resilient systems, innovative solutions, and scalable platforms that are pivotal to Tractian's growth. We play a crucial role in influencing the company's strategic decisions, enhancing operational efficiency, and providing outstanding experiences for our users.Your RoleAs a Data Infrastructure Engineer, you will be tasked with designing and implementing single-tenant database solutions that ensure secure data control for our customers. You will lead the transition of our multi-tenant infrastructure to a partitioned architecture, enhance SQL performance, and tackle complex database challenges. Your contributions will be vital in establishing scalable, dependable systems that empower customers with secure and innovative solutions.

Join our dynamic team at Sonsoft, Inc. as a Senior Data Warehousing Engineer. In this pivotal role, you will leverage your expertise in data architecture to design, implement, and manage robust data warehousing solutions. Your contributions will be essential in transforming data into actionable insights that drive business decisions.

Role overview Shift4 Payments is looking for an AWS Cloud Data Engineer to help build and maintain cloud-based data processing systems. The position involves designing, developing, and supporting solutions that keep data flowing smoothly and analytics reliable. Locations Atlanta, Georgia Center Valley, Pennsylvania Las Vegas, Nevada Tampa, Florida What you will do Design and develop data processing systems on AWS Maintain and improve cloud-based analytics infrastructure Support consistent data flow for analytics and reporting

Join Relex Solutions as a Senior Data Engineer within our Pricing & Promotions team in Atlanta, GA. In this pivotal role, you will be instrumental in developing and optimizing data pipelines, ensuring our pricing strategies are data-driven and effective.Your expertise will guide the integration of complex datasets to deliver actionable insights that enhance our promotional strategies.

About Dataiku Dataiku provides a platform for building, deploying, and managing AI and analytics at scale. The company helps organizations design and operate analytics, machine learning, and AI agents with transparency and control. Dataiku connects the enterprise AI stack, supporting centralized governance and multi-vendor environments. Learn more on the Dataiku blog, LinkedIn, X, and YouTube. Role Overview Dataiku is hiring a Data Engineer II for the Enterprise Data and Analytics (EDA) team. This role focuses on delivering reliable data to drive analytics, AI, and insights for teams across the company. The Data Engineer II will play a central part in supporting the Data Platform, which serves centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users. What You Will Do Contribute technical expertise to the Data Platform, working with Snowflake, Dataiku, and GitHub. Develop solutions using Python and SQL, with DataOps processes integrated into GitHub Actions and Dataiku. Collaborate with engineers from other teams to deliver solutions across various technical domains. Promote engineering best practices within the EDA team and the broader Analytics Community. Support analytics and AI initiatives for a wide range of stakeholders. What We Look For Experience with Snowflake, Dataiku, GitHub, Python, and SQL. Understanding of the software development lifecycle and DataOps methodologies. Strong collaboration skills and the ability to work across teams. Clear verbal and written communication. Analytical mindset and curiosity. Locations This position is open to candidates in the Netherlands (remote), Spain (remote), United Kingdom (remote), and the following US cities: Atlanta, Boston, Charlotte, Chicago, Cincinnati, Miami, Milwaukee, Minneapolis, Philadelphia, Raleigh, St. Louis, and Tampa.

At CapTech, our Data Engineering consultants empower clients to create and sustain sophisticated data systems that consolidate information from various sources, enabling informed decision-making. We design and implement data pipelines, preparing data for utilization by data scientists, analysts, and other data systems. Passionate about problem-solving, we strive to deliver innovative solutions that meet our clients' needs. Our Cloud Data Engineers harness cloud infrastructure to provide immediate value while ensuring scalability for the future. We foster a collaborative environment that encourages knowledge-sharing among developers, architects, and clients.Key responsibilities for the Cloud Data Engineer position include:Creating data pipelines and data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).Consulting with clients on technology and methodologies for effectively ingesting and processing data.Applying engineering best practices to tackle complex data challenges.Working closely with end users, development teams, and business analysts to ensure data architecture maximizes organizational value.Explaining architectural distinctions between solution approaches along with their pros and cons.

Join the GTM Engineering Team at TRACTIANAt TRACTIAN, our Go-To-Market (GTM) team operates on a global scale, providing essential support to our operations in the US, Brazil, and Mexico. We are a pivotal team dedicated to constructing the data infrastructure, systems, and processes that bolster our GTM efforts, significantly enhancing our customer experience.Your RoleAs a Data Engineer specializing in GTM at TRACTIAN, you will design and optimize our revenue data analytics infrastructure, empowering our GTM operations. Your primary responsibilities will include managing a customer data lake, automating account enrichment processes, and streamlining revenue workflows. This dynamic role requires collaboration across various functions and integrates data engineering, analytics, and GTM strategy, utilizing top-tier tools.

Join Vultr as a Data Center Site Manager in our Atlanta Data Center. You will oversee the operation and maintenance of data center facilities, ensuring optimal performance and uptime. Your leadership will guide a dedicated team, and you'll implement best practices to enhance operational efficiency.

As a Lead Machine Learning Engineer at CapTech, you will be at the forefront of designing and implementing innovative, data-driven solutions for our clientele. Your primary focus will be on developing and deploying scalable machine learning systems within enterprise environments. At CapTech, we foster a collaborative atmosphere, offering numerous opportunities to engage with and learn from fellow analysts, architects, and clients.Key responsibilities for the Lead Machine Learning Engineer role include: Collaborating with clients, data scientists, engineers, and cross-functional teams to devise end-to-end machine learning solutions and explore new methodologies in data science to fulfill business objectives.Providing technical leadership and ensuring alignment of technical solutions with client requirements across teams.Translating client needs into data-driven processes, models, and analytical metrics.Conducting analysis and transformation of large datasets leveraging various enterprise-level data platforms such as AWS, Azure, and GCP.Designing, developing, and deploying advanced analytical solutions utilizing client data, including recommender systems, natural language processing, and risk scoring.Optimizing and scaling machine learning systems to meet client specifications.Enhancing CapTech’s Machine Learning and Data Science capabilities through client presentations, proposal writing, participation in business development events, and mentoring junior data scientists and engineers.

Join The Weather Channel as a Senior Data Systems Engineer specializing in Informatica ETL processes. In this role, you will be responsible for designing, developing, and maintaining data systems and ETL pipelines that support our data-driven initiatives. You will collaborate with cross-functional teams to ensure the integrity and efficiency of our data solutions.

About Shift4 Payments Shift4 Payments, Inc. streamlines complex payment systems for businesses around the world. As a leader in commerce-enabling technology, Shift4 supports billions of transactions each year for hundreds of thousands of clients across many industries. Learn more at www.shift4.com. Role Overview Shift4 is growing quickly and is hiring a Senior AWS Cloud Data Engineer to join its in-house engineering team. This position plays a key part in shaping technology, architecture, and engineering delivery within the AWS Cloud Data Services group. What You Will Do Design, build, and maintain data infrastructure solutions on AWS Support data-driven projects across the organization Collaborate with project managers, business analysts, and software engineers Help ensure systems are available, reliable, and scalable Take ownership of assigned projects Who We’re Looking For Motivated, self-starting engineers who enjoy working on challenging projects Strong background in AWS cloud data engineering Comfort working with cross-functional teams Location This is an on-site role based at one of the following Shift4 offices: Tampa, FL; Atlanta, GA; Las Vegas, NV; or Center Valley, PA.

Join our dynamic team as a Lead Big Data Engineer, specializing in data ingestion from over 100 source systems in both batch and near real-time environments. You will be pivotal in designing and developing the new NCR Data Lake using Hortonworks HDP and HDF distributions. Your leadership will inspire the engineering team to cultivate an innovative mindset and enhance technical skills while actively participating in Big Data Communities of Practice. Your role will also involve implementing the essential systems for production, ensuring efficient data governance and egestion processes.

Join Nagarro as a Senior Staff Engineer specializing in Big Data technologies. In this role, you will leverage your extensive technical expertise to design and implement robust data solutions that drive business decisions. Collaborate with cross-functional teams to innovate and optimize our data architecture and analytics capabilities.

Speechify builds tools that turn reading materials into audio, helping over 50 million people access content in new ways. Our products work across iOS, Android, Mac, Chrome Extension, and Web. Google named us Chrome Extension of the Year, and Apple recognized us with the 2025 Design Award for Inclusivity. Our remote team includes nearly 200 professionals from leading tech companies and top universities. Collaboration happens across frontend and backend engineering, AI research, and more, without a central office. About the Role The Data team in Speechify’s AI group is hiring a Software Engineer focused on data infrastructure and acquisition. This role is central to collecting and managing the large-scale datasets that support our model training. The work combines infrastructure, engineering, and research to deliver high-quality data at petabyte scale and low cost. What You Will Do Find and source new audio data for our ingestion pipeline. Manage and improve our cloud infrastructure for data ingestion, currently on Google Cloud Platform (GCP) and maintained with Terraform. Work with Scientists to optimize cost, throughput, and data quality, supporting larger and richer datasets for advanced models. Partner with the AI team and company leadership to shape the dataset roadmap for future consumer and enterprise products. Location This position is based in Atlanta, GA, USA.

As a Machine Learning/Data Science Engineer at CapTech, you will play a pivotal role in crafting and executing innovative data-driven solutions for our clients. Your main focus will be on architecting and deploying scalable machine learning systems within enterprise settings. At CapTech, we foster a collaborative culture that encourages continuous learning and knowledge sharing among analysts, architects, and clients.Key Responsibilities:Collaborate effectively with clients, data scientists, engineers, and cross-functional teams to deliver comprehensive end-to-end machine learning solutions while exploring new methodologies to fulfill business objectives.Translate client needs into actionable data-driven processes, models, and analytical metrics.Perform in-depth analysis and transformation of extensive datasets hosted on various enterprise-level data platforms, including AWS, Azure, and GCP.Design, develop, and implement advanced analytical solutions utilizing client data, such as recommender systems, natural language processing models, and risk assessment frameworks.Operationalize machine learning systems with an emphasis on optimization and scalability to meet client expectations.Contribute to the growth of CapTech’s Machine Learning and Data Science practices by delivering engaging client presentations, crafting proposals, participating in business development events, and mentoring junior data scientists and engineers.

Valorem Reply is a prestigious digital transformation firm dedicated to enhancing business operations through data-driven solutions, IT modernization, customer experience enhancement, product transformation, and creating a digital workplace. Our expertise lies in harnessing the capabilities of Microsoft technologies to deliver scalable, agile, and innovative digital business services tailored to our clients' needs.As a Data Engineer at Valorem Reply, you will be instrumental in designing, constructing, and optimizing cutting-edge data platforms utilizing Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. Your role will merge technical prowess with strong consulting abilities, engaging clients to understand their business challenges and translating those insights into scalable data solutions. You will play a key role in solution architecture, delivering high-quality data solutions that yield tangible business benefits. You will find yourself in a collaborative environment where you can discuss intricate technical details with engineers, facilitate design sessions with clients, and present your recommendations to executive leadership.