
Data Engineer / Migration Specialist
Remote · USJob$111–126K/yrSeen 1 day agoSeen in employer's feed 1 day ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
TISTA Science and Technology is seeking a Data Engineer / Migration Specialist to plan and execute migrations from legacy systems to modern platforms. The role builds ETL/ELT pipelines, develops mapping and validation plans, and supports data extraction, analytics requests, and archive decommissioning. The position is remote in the USA and focuses on systems including VistA, Maximo, and DMLSS.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Overview
TISTA Science and Technology is seeking a Data Engineer / Migration Specialist to join our growing team.
At TISTA, you’ll do meaningful, mission‑driven work that improves lives alongside teammates you trust and leaders who are transparent and supportive. We invest in your learning and internal mobility so you can build a career that keeps advancing. We’re proud to serve and hire Veterans, and we put people first in everything we do.
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!
Responsibilities
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Plan and run data migrations from legacy systems (VistA, Maximo, DMLSS) to modern platforms, and write the data migration plans.
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Build ETL/ELT pipelines in Databricks (PySpark, Spark SQL) and VALIP.
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Write and maintain the data mapping and validation plan; reconcile and validate data after each load.
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Mask and sanitize production data for lower environments.
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Support data extraction, analytics requests and decommissioning data archives.
Qualifications
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6+ years in ETL, data migration or database development (Mid / Level II).
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SQL and Python; PySpark or Spark SQL.
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Data mapping, validation and reconciliation for migrations.
Desired Skills:
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Migrating from VistA, Maximo or DMLSS.
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Data masking for lower environments.
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HL7, FHIR or EDI data formats.
Education:
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Bachelor's degree.
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Certified (Maximo) Deployment Professional.
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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.
Location:
- Remote, USA.
Pay Range:
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The suggested pay for this position ranges from $110,546 to $125,875.
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The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location.
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Also, certain positions are eligible for additional forms of compensation, such as bonuses.
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TISTA associates are eligible to participate in our comprehensive benefits plan! More information can be found here: https://tistatech.com/working-at-tista/
How this job compares
Set against the 6,119 open Data Engineer jobs on Olive Jobs, counted October 30, 2026.
- Pay
- This posting$111–126K/yr
- US median$122–208K/yr4,809 salary ranges
This range's midpoint, $118K, is 29% below the US median midpoint ($166K) — in the lowest quarter of Data Engineer salary ranges across the US.
- Openings
- Olive Jobs lists 6,119 open Data Engineer jobs across the US. 9% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 6 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,345 postings).
- Education
- This posting asks for a bachelor's degree; 2,821 of the 6,119 open Data Engineer jobs (46%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 30, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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