SENIOR AWS DATA-INTEGRATION AND DATA-QUALITY ENGINEER

Axyde Analytics

$120K — $145K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of AWS data engineering experience
  • Proficient in AWS services like S3, Glue, Athena, and more
  • Experience with data integration from various sources
  • Skilled in managing data quality and metadata
  • Familiarity with Spark and transformation patterns
  • Preferred experience in federal or sensitive-data environments

Responsibilities

  • Establish secure connections to government and public data sources
  • Ingest various data types including structured and unstructured
  • Configure and utilize AWS services for data preparation
  • Design reusable data transformation patterns
  • Integrate Spark-compatible transformation logic into the architecture
  • Implement data quality controls and exception handling
  • Support daily data refreshes and onboard new sources

Benefits

  • Remote work opportunity within the U.S.
  • Occasional travel required
  • Opportunity to work on federal enterprise projects
  • Engagement in immediate proposal and demonstration efforts
  • Focus on secure and compliance-driven projects
Full Job Description
Axyde Analytics seeks a senior AWS data engineer to design and implement managed-service data-ingestion, transformation, quality, cataloging, and monitoring capabilities for a federal enterprise analytics platform.

Responsibilities
  • Establish and maintain secure connections to heterogeneous Government and public data sources.
  • Ingest structured, semi-structured, and unstructured information.
  • Configure Amazon S3, AWS Glue Data Catalog, Glue Crawlers, Athena, Step Functions, EventBridge, and approved managed data-preparation services.
  • Design reusable patterns for JDBC, Oracle, Red Hat/Linux, APIs, files, PDFs, scheduled feeds, and unscheduled uploads.
  • Incorporate Government-furnished Spark-compatible transformation logic into the approved architecture.
  • Implement schema inference, standardization, validation, lineage, quality controls, and exception handling.
  • Detect connection failures, schema changes, stale data, duplicates, prohibited data, and other quality issues.
  • Support daily refresh requirements and scalable onboarding of new data sources.
  • Produce technical documentation, runbooks, data dictionaries, and source-to-interface mappings.
  • Support the live technical demonstration and subsequent production transition.

Required Experience
  • Five or more years of senior AWS data-engineering experience.
  • Strong hands-on experience with S3, Glue, Athena, Step Functions, EventBridge, and AWS-native monitoring.
  • Experience integrating relational databases, APIs, documents, and mixed-format enterprise data.
  • Demonstrated experience with data quality, metadata management, schema evolution, lineage, and operational monitoring.
  • Familiarity with Spark, PySpark, JavaSpark, or Spark transformation patterns.
  • Experience in federal, regulated, or sensitive-data environments strongly preferred.

Architecture Constraint

Implementation must remain within Axyde's approved AWS managed-service baseline. Candidates must not assume that custom Python, Lambda, containers, EC2, third-party libraries, or external integration platforms may be used.

Engagement

U.S. citizenship required. Remote within the United States with occasional travel. Immediate proposal and demonstration support may be available; longer-term work is contingent upon award.

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