Data Engineer

Ignite Digital enables national security agencies to accelerate decisions, elevate operational outcomes and achieve the outsized performance only an inside partner can deliver. 

We combine mission experience, domain knowledge and technology expertise with the things partners can only know by being there every day. When agencies need a combination of tech and touch, Ignite Digital creates outcome-driving partnerships and stands with agencies to accomplish mission objectives. 

Ignite Digital accelerates capability to the speed of every mission, deploying intelligent solutions and AI integration for faster, better transformation. Ignite delivers partnership beyond presentations to inspire the confidence to lead in a digital-forward world. 

Ignite Digital. The Edge from Within. 

Perks of Working at Ignite Digital:

• Competitive pay and benefits, including PTO
• Education stipends and referral bonuses
• Compelling work with the U.S. federal government
• Strong emphasis on volunteer and community engagement
• Opportunity to shape the future of our industry
• Supportive colleagues and management who invest in your growth

Ignite Digital Services is hiring a Data Engineer to independently build and optimize scalable data pipelines and infrastructure in support of a large federal enterprise multi-domain data ecosystem. You will operate with autonomy, drive innovation, and contribute to mission-critical data solutions, while delivering within a larger team project management environment. 

Key Responsibilities:  

• Independently design, build, and maintain end-to-end data pipelines and core infrastructure. 
• Develop efficient data processing and transformation workflows. 
• Create and maintain data models, schemas and transformation logic to support analytics requirements. 
• Integrate diverse data sources (APIs, databases, cloud storage) into unified datasets. 
• Implement robust validation, monitoring, and observability processes. 
• Contribute to data governance, security, and automation initiatives. 
• Leverage AWS, Databricks, and related technologies for cloud-native solutions. 
• Collaborate with data scientists, analysts, and security teams. 

Required Skills:  

• Expertise in Python, SQL, Spark, and PySpark. 
• Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory). 
• Familiarity with Databricks, Palantir, Snowflake, and data warehousing technologies.