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NTVI FEDERAL, INC · 2 hours ago

Database Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

10+ years exp

NTVI Federal, Inc. is an Alaska Native Corporation that provides various services to the Federal Government and private industry. They are seeking a highly skilled Data SME with expert-level proficiency in Databricks to lead the migration of large-scale data from legacy systems to a cloud-native architecture.

Individual and Family Services

No H1B

U.S. Citizen Only

Responsibilities

Lead the design and development of Databricks-based data pipelines using Spark (PySpark or Scala), handling ingestion from S3 to Bronze, Silver, and Gold layers

Manage large Parquet datasets efficiently with best practices for partitioning , schema evolution , and optimization

Coordinate with ETL developers, architects, and engineers to align on performance, data quality, and scalability goals

Support end-to-end data validation, reconciliation, and transformation logic within Databricks

Build robust and scalable data models and design DynamoDB schemas that support high-volume, low-latency access patterns

Tune Spark jobs for large datasets (millions of records per run) to ensure performance SLAs are met

Collaborate on strategy for data lake architecture, including metadata handling, schema registry, and lineage tracking

Participate in code reviews, data profiling, and pipeline automation efforts

Qualification

DatabricksAWS DynamoDBParquet filesData engineeringSpark optimizationS3 ingestionMulti-layer data lakePySparkScalaSQLData quality frameworksDocumentation skills

Required

10+ years of overall experience in data engineering, with at least 3+ years of Databricks (Spark) development at expert level

5+ years of experience working with data in a Federal government environment

Proven experience working with Parquet files and S3-based ingestion pipelines at large scale

Strong background in building multi-layer data lake architectures (Bronze/Silver/Gold)

Ability to read and interpret Oracle source schemas, queries, and PL/SQL procedures for data extraction (reading only—not DBA work)

Strong command of Spark optimization, memory tuning, and cluster scaling for big data jobs

Familiarity with data quality frameworks, metadata cataloging, and governance controls

Strong scripting skills in PySpark, Scala, or SQL

Must be eligible to obtain IRS Moderate Risk MBI

Must be a U.S. Citizen

Preferred

Hands-on experience with AWS services (preferably in the .GOV cloud), including S3, EMR (optional), and DynamoDB (schema design, indexing, partition keys)

Background in Quality Control, with strong documentation skills is highly desired

OSHA 30 training certificate & CPR/ First Aid training preferred

CQM-C Certification is a plus

IRS experience is a plus