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# Data Engineer / Migration Specialist

- **Company:** TISTA Science and Technology Corporation
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $110,546.0 - $125,875.0
- **Contract:** Permanent contract
- **Skills:** Extract Transform Load (ETL), Data Mapping, Data Masking, Data Migration, Data Mining, Database Development, Apache Hive, Python (Programming Language), Operational Databases, SQL Databases, Fast Healthcare Interoperability Resources, Generative AI, Pyspark, Health Level Seven International, Data Pipelines, Legacy Systems, Databricks
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=74b3d279ea2c81dd

## About the Role

* 6+ years in ETL, data migration or database development (Mid / Level II).
 * SQL and Python; PySpark or Spark SQL.
 * Data mapping, validation and reconciliation for migrations.

Desired Skills:

 * Migrating from VistA, Maximo or DMLSS.
 * Data masking for lower environments.
 * HL7, FHIR or EDI data formats.

Education:

 * Bachelor's degree.
 * Certified (Maximo) Deployment Professional.
 * Databricks Certified Data Engineer; Databricks Certified Generative AI Engineer.

Clearance:

 * Must be able to obtain a Tier 2 / Moderate Risk Public Trust and a VA PIV credential.

## Description

TISTA associates enjoy above Industry Healthcare Benefits, Remote Working Options, Paid Time Off, Training/Certification opportunities, Healthcare Savings Account & Flexible Savings Account, Paid Life Insurance, Short-term & Long-term Disability, 401K Match, Tuition Reimbursement, Employee Assistance Program, Paid Holidays, Military Leave, and much more!, * Plan and run data migrations from legacy systems (VistA, Maximo, DMLSS) to modern platforms, and write the data migration plans.

 * Build ETL/ELT pipelines in Databricks (PySpark, Spark SQL) and VALIP.
 * Write and maintain the data mapping and validation plan; reconcile and validate data after each load.
 * Mask and sanitize production data for lower environments.
 * Support data extraction, analytics requests and decommissioning data archives.