Top Data Engineer Jobs in Nashville, TN

The QA Data Engineer enhances quality and reliability of data-driven applications by developing automated validation tools, implementing data verification tests, and designing QA architecture for data processing. Responsibilities include performance testing on AI systems, creating data monitoring systems, and exploring new technologies to optimize data QA processes.

As a Data Engineer at Headway, you will design and implement data pipelines to support business decisions, improve data infrastructure, and collaborate with cross-functional teams in providing valuable insights from data. You will engage with product, engineering, and data teams to create efficient data processing systems.

As a Principal Data Engineer, you'll guide the direction of the Data Warehouse, architect, implement, and optimize ingestion pipelines, and collaborate across teams to ensure data-driven decision-making. You'll also mentor colleagues and ensure compliance with regulatory standards while managing high-volume data systems.

As a Senior Software Engineer at Doximity, you will enhance data pipelines, lead projects from inception to delivery, and collaborate with cross-functional teams to improve healthcare technology. Your expertise in Python and SQL will help in evaluating systems and establishing data architecture that supports insights extraction.

As a Senior Data Engineer, you will design and build a data platform for analyzing financial markets, collaborating with traders and researchers to manage data sources and ensure data quality. You will mentor junior team members and contribute to project management, overseeing data ingestion and maintaining system reliability.

The Senior Data Engineer will design and implement scalable systems for a digital ad exchange, mentor other engineers, and drive technical initiatives. Responsibilities include building features, optimizing performance monitoring, and enhancing cloud-based architectures while following best software practices.

As a Data Engineer at Dandy, you will design, build, and maintain scalable data pipelines, contribute to the data platform, and collaborate with various teams to optimize data workflows. You'll ensure high data quality and implement best practices in data engineering while creating clear documentation.

The Data Engineer II will be responsible for building and optimizing data platforms, developing data pipelines, and collaborating with teams to innovate data integration solutions. They will enhance existing technologies and ensure effective data processing and management across different business units.

The Data Engineer I will build and support the data platform by developing and automating computing processes, ensuring scalability and robust business capabilities, and executing data migration to Azure. They will work with various datasets, collaborate with teams, implement engineering solutions, and follow best practices in data integration and security.

As a Senior Data Engineer, you'll design and architect data pipelines and ETL processes, maintain a data lakehouse, implement cloud data strategies, and ensure high performance and availability of data infrastructure. You'll mentor junior team members and collaborate with data science teams to elevate analytics capabilities.

As a Staff Data Engineer, you will design and implement scalable data solutions, optimize data infrastructure, and support BI product development. You will collaborate with stakeholders for project alignment and success while managing data workflows and governance tools.

As a Senior Data Engineer, you will enhance Amplified's data capabilities by connecting data systems, maintaining ETL pipelines, creating dashboards, and uncovering data insights across the organization. You will work closely with business teams to understand their data needs and translate them into actionable reports and visualizations.

The Lead Data Platform Engineer will scale a high-volume data platform, managing ETL processes, data warehousing, and governance while mentoring the data platform team and collaborating with analytics and machine learning teams for infrastructure support.

As a Senior Data Engineer, you will lead data migration to Databricks, develop scalable data pipelines, ensure data quality, and collaborate with teams on data governance and metrics. You'll troubleshoot data issues, innovate solutions, and manage SLAs for high-priority datasets, applying Agile methodologies throughout.

As a Software Engineer on the Data Platform, you will collaborate with data analysts and engineers to propose, architect, and implement solutions. You'll focus on improving data pipelines and software engineering culture, and work with teams to resolve development issues.

As a Senior Data Engineer/Scientist, you will design and maintain data pipelines, build data structures, and collaborate with data scientists and analysts. Responsibilities include data manipulation using SQL and Python, building analytical models, and integrating external datasets. You'll impact various industries by delivering quality analytic products based on data-driven decisions.

The Data Engineer will design and build data pipelines for the Rocket Data Platform, ensuring reliability and efficiency. Responsibilities include translating queries, utilizing Snowflake and Apache Airflow, collaborating with stakeholders, and implementing automated testing for data quality.