Senior Data Engineer

Analytica
United States
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 7+ yearsSkills: ["Communication","Documentation","Problem-solving","Cross-functional collaboration"]

Build reusable connectors and scalable ETL/ELT pipelines to ingest, validate, normalize, and persist multi-source agency data for a secure Federal data analytics and AI modernization effort. Develop RESTful APIs and data services for retrieval, transformation, and downstream applications, while implementing data quality controls, lineage/metadata capture, logging, monitoring, and auditability. Optimize data models and automate CI/CD for reliable production data engineering.

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FursaFursa
Analytica
Analytica
1 day ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 58 minutes agoStatus: Live

Job Summary

Build reusable connectors and scalable ETL/ELT pipelines to ingest, validate, normalize, and persist multi-source agency data for a secure Federal data analytics and AI modernization effort. Develop RESTful APIs and data services for retrieval, transformation, and downstream applications, while implementing data quality controls, lineage/metadata capture, logging, monitoring, and auditability. Optimize data models and automate CI/CD for reliable production data engineering.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, test, and deploy scalable ETL/ELT pipelines for high-volume, multi-source data environments.
  • •Build reusable connectors and integration services to ingest data from APIs, databases, files, and enterprise data sources.
  • •Develop and integrate RESTful APIs and data services for data ingestion, retrieval, transformation, and downstream applications.
  • •Implement data quality controls (validation, reconciliation, deduplication, error handling, and exception management) and develop automated lineage/metadata, logging, monitoring, and auditability.
  • •Design and optimize data models, schemas, storage solutions, and SQL transformations/processing logic; maintain automated CI/CD pipelines for data engineering components and applications.

Pay and Benefits

Perks:Health Insurance401kLearning Budget

Key Requirements

  • •7+ years of experience in data engineering, data integration, or a related software engineering discipline.
  • •Production-grade experience building and maintaining enterprise data pipelines and integrations.
  • •Strong ETL/ELT architecture and data transformation experience, including orchestration, validation, reconciliation, lineage, logging, and monitoring.
  • •Advanced proficiency with SQL and relational databases, plus strong programming experience in Python.
  • •Experience with REST APIs/data integration interfaces and database/storage technologies such as PostgreSQL or Microsoft SQL Server.
Experience:7+ years
Skills:CommunicationDocumentationProblem-solvingCross-functional collaboration
Tech Stack:ETLELTPythonSQLREST APIsPostgreSQLMicrosoft SQL ServerLinuxGitCI/CDCICDKubernetesRancherDockerJenkinsAzure DevOpsData lineageData catalogsMetadata management

Eligibility

Security Clearance:Top Secret

Company Brief

Analytica
Analytica is a federal-focused consulting and technology services firm delivering data, analytics, AI, and IT modernization solutions to health, civilian, and national security agencies in the U.S.
Industry: Consulting
Company Size: Medium (51 to 250 employees)
Revenue: USD 25M to 50M
Growth: Established Company
Headquarters: Washington, United States
Founded: 2009
Glassdoor
Glassdoor: 3.4
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