Data Engineer

Significance is a woman-owned consulting firm serving the federal government.  We are known for building trusted relationships within our teams and with our clients and hiring the highest-level experts who implement innovative solutions. We also like to have fun!  Our focus on culture has contributed to Significance being named a Washington Business Journal Best Place to Work each of the last six years.
The Data Engineer is responsible for building and maintaining the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of sources to support the ERP+ analytics environment. This individual will help develop and sustain pipelines to move Navy ERP and external source data into environments such as Advana/Jupiter, ensuring scalability, security, and compliance. The Data Engineer supports bronze, silver, and gold staging processes for analytical readiness and contributes to overall data lifecycle planning, cleansing, and automation. Serves as a leader in Financial Improvement Coordination, ensuring that groups of professionals are working successfully within the context of complex business environments. Develops business cases, requirements, studies and scope solutions. Identifies gaps and shortcomings in solutions and determines ways forward and/or workarounds to the solutions proposed. Leads process modeling and translates requirements into design. Leads the formulation and implementation of strategic plans. Coordinates with the client at the SES level and above.

Required Skills

• Experience building scalable ETL pipelines
• Strong skills in SQL and at least one language such as Python, Scala, or Java
• Familiarity with data lake architecture and cloud storage (e.g., AWS S3, Azure Data Lake)
• Working knowledge of data quality and data profiling tools
• Understanding of IL4/IL5 security controls and encryption methods -
• 9 years of related experience 
• Secret Clearance
• Bachelor's Degree

Desired Skills

• Experience using Databricks, Apache Spark, or Snowflake
• Prior exposure to DoD data platforms such as Advana or Jupiter
• Familiarity with SAP HANA data extraction patterns
• Hands-on experience with automation and CI/CD pipelines

At Significance, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location.  We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a comprehensive and generous benefits package.
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