Data Engineer

Analytica
Washington
Workplace: RemoteFull timeFunction: Software EngineeringExperience: 3+ yearsEducation: bachelorsSkills: []

Build and maintain secure, scalable data pipelines and platform services for a financial regulatory agency program. You’ll develop SQL-based reporting in Databricks, administer Unity Catalog and governance controls, and support AWS-based cloud operations such as logging, monitoring, and observability. The role also includes implementing CI/CD with GitHub Actions, Terraform, and Databricks Asset Bundles, plus participating in incident response and troubleshooting to improve reliability and self-service analytics.

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FursaFursa
Analytica
Analytica
1 month ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Build and maintain secure, scalable data pipelines and platform services for a financial regulatory agency program. You’ll develop SQL-based reporting in Databricks, administer Unity Catalog and governance controls, and support AWS-based cloud operations such as logging, monitoring, and observability. The role also includes implementing CI/CD with GitHub Actions, Terraform, and Databricks Asset Bundles, plus participating in incident response and troubleshooting to improve reliability and self-service analytics.
Location: Washington
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Support ingestion, transformation, and publication of enterprise datasets using standardized and governed data engineering processes.
  • •Develop and maintain SQL-based reporting and analytics solutions using Databricks SQL Warehouses.
  • •Implement and administer Unity Catalog, including data lineage, metadata, and data governance controls.
  • •Support cloud operations such as infrastructure automation, logging, monitoring, and platform observability.
  • •Implement and maintain CI/CD pipelines (e.g., GitHub Actions, Terraform, Databricks Asset Bundles) and participate in incident response and operational support.

Pay and Benefits

Perks:Health Insurance401kLearning Budget

Key Requirements

  • •Minimum of 3 years of experience in data engineering, cloud engineering, or platform operations.
  • •Experience supporting enterprise data platforms, analytics environments, or cloud-based data solutions.
  • •Proficiency in Python and SQL with strong data engineering concepts.
  • •Experience with Databricks and big data technologies such as Apache Spark or PySpark.
  • •Experience with AWS services (e.g., S3, IAM, CloudWatch, Glue, Athena, Redshift) and ETL/ELT pipeline design; bachelor’s degree in a related field.
Experience:3+ yearsGovernmentData engineeringCloud
Education:Bachelor's in Computer Science, Information Systems, Engineering, or related field
Tech Stack:DatabricksAWSSQLPythonApache SparkPySparkUnity CatalogGitHub ActionsTerraformDatabricks Asset BundlesCI/CDAmazon S3IAMCloudWatchAWS GlueAthenaAmazon RedshiftETLELTData lineage

Eligibility

Security Clearance:Active MBI Clearance

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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