Data Analytics Engineer

We are working with a leading technology services firm dedicated to enhancing the nationwide tech community, consistently seeking top-tier professionals to join their innovative team.

The Role

• Design, develop, and support scalable enterprise data pipelines for reporting, analytics, and business applications.
• Build and optimize cloud-based data solutions integrating information from various enterprise data sources.
• Develop and maintain modern data platforms using Databricks, Spark, and cloud data engineering best practices.
• Partner with application developers, analysts, and business stakeholders to create reusable data products and support critical applications.
• Implement data quality controls, monitoring, metadata management, and documentation for trusted data assets.
• Participate in Agile delivery, solution design, CI/CD processes, and continuous improvement initiatives.

What You'll Need

• 3–7 years of experience in Data Engineering, Analytics Engineering, or Software Development focusing on enterprise data solutions.
• Strong experience designing and developing ETL/ELT pipelines, data integration frameworks, and cloud-based data platforms.
• Hands-on experience with Databricks, including PySpark, Spark SQL, and Delta Lake.
• Experience building data ingestion pipelines using tools like Azure Data Factory, APIs, SQL databases, or Kafka.
• Strong programming experience with Python and SQL, along with knowledge of relational databases and data warehousing concepts.
• Experience with source control and DevOps tools such as GitHub and Azure DevOps, including CI/CD best practices.

What's On Offer

• Opportunity to work on critical enterprise data solutions.
• Engage with modern data platforms and cloud technologies.
• Contribute to continuous improvement initiatives within a dynamic data ecosystem.
• Hybrid work arrangement in Atlanta, GA.

Apply via Haystack today!