Senior Data Engineer

At DevSavant, we are a trusted technology partner specializing in Software Development, Data Engineering, AI/Machine Learning, Cloud Solutions, Automation Testing, and UI/UX Design. We deliver high-impact, high-quality solutions with a focus on innovation and results. Our people are at the heart of everything we do, fostering a culture of growth, ownership, and well-being.

We’re currently partnering with a fast-growing tech company to scale their AI-enhanced data platform, and we’re looking for a Senior Data Engineer who can own business problems end-to-end from abstract requirements to production-ready systems.

You will report to the Head of Data Engineering and work as a trusted technical partner in building secure, scalable, and cost-effective data systems. This is a high-autonomy, high-impact role where your ability to take broad direction, define a strategy, and execute it hands-on will be critical.

• Translate ambiguous business problems into scalable data solutions.

• Design and implement high-performance, secure data pipelines (batch and streaming).

• Drive integration of data across internal and third-party sources.

• Develop and maintain infrastructure-as-code and CI/CD for data pipelines.

• Partner with stakeholders across product and engineering to define data contracts, SLAs, and delivery plans.

• Ensure high data quality and system reliability through rigorous monitoring.

• Contribute to AI/ML data strategy and integration efforts.

• Provide leadership through mentorship and sharing best practices.

• Communicate clearly and technically in a remote-first environment.

• 7+ years of hands-on data engineering experience, including ETL, big data processing (e.g., Spark/PySpark), and data warehousing.

• Proven ability to independently take a business goal, design a technical solution, and implement it.

• Strong background with cloud infrastructure (especially AWS).

• Deep expertise with SQL and relational/non-relational databases (e.g., MySQL, PostgreSQL, DynamoDB).

• Strong Python coding skills (including PySpark, Pandas, etc.).

• Experience designing for both OLAP and OLTP systems.

• Familiarity with microservices and event-driven architecture is a plus.

• Experience working with BI tools such as Power BI or Tableau.

• Proficient in Linux and CLI tools.

• Experience with Terraform, CircleCI, Docker, and Git.

• Excellent communication skills – especially in asynchronous, remote-first teams.

• Strategic thinker with a bias toward action and a mindset of continuous improvement.

• Can zoom out to see the big picture and zoom in to write the code.

• Love solving complex problems with imperfect information.

• Are proactive, curious, and accountable.

• Enjoy building systems that are both elegant and practical.

• Are comfortable leading without formal authority and influencing outcomes through insight and clarity.

• Languages & Frameworks: Python, JavaScript, Node.js, React

• Cloud & Infrastructure: AWS (Lambda, Fargate, Bedrock, RDS, S3, Kinesis), Terraform

• Databases: MySQL, PostgreSQL, DynamoDB

• CI/CD & DevOps: CircleCI, Git, Docker

• Architecture: Microservices, Event-driven, Cloud-native

• BI Tools: Power BI, Tableau