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Mta Data Engineer Jobs (NOW HIRING)

Specialist Data Engineer

New York, NY · Hybrid

$114K - $134K/yr

MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding ... The Data Engineer will participate in a variety of data related projects and work closely with the ...

MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding ... data handling techniques required. * Ability to instruct and guide less senior software developers ...

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Mta Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do mta data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for mta data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Mta Data Engineer jobs?

For Mta Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Mta Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Sr. Snowflake Data Engineer

Charlotte, NC • On-site

Accord Technologies Inc.
IT Services • 51 - 200 employees

$60 - $62/hr

Contractor

Re-posted 5 days ago


Job description

Sr. Snowflake Data Engineer
Charlotte, NC | Lewisville, TX | Jacksonville, FL

Hybrid (3 days a week from Office)
Position type: W2 contract

Required Skills:

  • Snowflake Data Engineering
  • Data Modeling & Architecture (Customer, Identity, Contact History)
  • SQL
  • DBT
  • Talend
  • APIs & Data Integration
  • GA4
  • Google Tag Manager (GTM)
  • BigQuery
  • Marketing Analytics Data Structures
  • Snowflake (strong hands-on experience)
  • Talend Data Integration / Talend Cloud
  • Advanced SQL
  • Data modeling
  • ETL/ELT pipeline development
  • Performance tuning and troubleshooting
  • Enterprise data warehousing concepts
  • Identity Resolution
  • Customer 360 / Data Spine concepts
  • Audience Activation
  • Attribution (MMM / MTA)
  • Data Governance & MDM
  • Marketing Technology Platforms