Data Engineering Specialist Jobs
Data Engineering Specialist jobs are open across technology, financial services, healthcare, retail, and media, from entry-level to staff and principal, with specializations in pipeline architecture, data platform engineering, and real-time streaming systems. See the openings below and apply to the ones that match your experience.
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Job Summary
Seeking a Senior Specialist with 7 to 11 years of experience to lead backend engineering projects focusing on MS SQL Server MySQL project planning and governance
Job Description
- Utilize expertise in MS SQL Server and MySQL to design develop and maintain robust database solutions
- Lead project planning activities ensuring alignment with organizational goals and timelines
- Implement strong project governance frameworks to monitor project progress and compliance
- Collaborate with crossfunctional teams to optimize backend processes and data management
- Leverage Python skills for data automation and testing to enhance system efficiency and reliability
- Ensure data integrity security and availability across backend systems Drive continuous improvement initiatives in backend engineering and project execution methodologies
- Maintain comprehensive documentation for backend systems project plans and governance protocols
Roles and Responsibilities
- Own endtoend backend engineering project lifecycle including planning execution monitoring and closure
- Establish and enforce project governance structures roles and responsibilities
- Coordinate with stakeholders to ensure resource optimization and integrated delivery
- Monitor project risks and implement mitigation strategies proactively
- Lead efforts in database performance tuning query optimization and troubleshooting
- Mentor junior team members on best practices in SQL Server MySQL and project governance
- Facilitate communication and reporting to senior leadership on project status risks and milestones
- Drive automation testing initiatives using Python to improve quality assurance processes
Skills
Mandatory Skills : MS SQL Server, MySQL, Project Governance, Project Planning
Good to Have Skills : Python, Python Data Automation Testing
Other details
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):
Benefits and Perks:
- Comprehensive Medical Plan Covering Medical, Dental, Vision
- Short Term and Long-Term Disability Coverage
- 401(k) Plan with Company match
- Life Insurance
- Vacation Time, Sick Leave, Paid Holidays
- Paid Paternity and Maternity Leave
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.Benefits
Compensation range: $80,000.00 to $90,000.00 per year
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert
Data Engineering Specialist Jobs by Experience Level
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Find JobsData Engineering Specialist Job Market
Who's Hiring
- LTM Limited21

- Colliers Engineering & Design2

- AAMC1

- Optum1

- Boeing1

Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in data engineering specialist jobs.
- Proficiency in SQL and at least one Python or Scala data processing framework
- Hands-on experience building and maintaining ETL or ELT pipelines in production
- Experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift
- Familiarity with workflow orchestration tools such as Apache Airflow or similar
- Bachelor's degree in computer science, data engineering, or a related technical field
- Knowledge of data modeling concepts including star schema and dimensional modeling
Tips for Your Data Engineering Specialist Job Search
Tailor your resume to pipeline specifics
Hiring managers for data engineering specialist roles scan for concrete pipeline technologies you've built with, not just languages you know. List the orchestrators, messaging systems, and cloud data warehouses you've used in production, and name the scale of data you handled.
Apply early to roles that fit
Migrate Mate lists data engineering specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by data stack alignment
Filter openings by the cloud provider and warehouse technology the team uses. A role built around one ecosystem differs significantly from another, so matching your hands-on stack to the job description increases your chances of clearing the technical screen.
Prepare a system design narrative
Data engineering specialist interviews frequently include a whiteboard or verbal walkthrough of a pipeline you designed from scratch. Practice explaining your architectural decisions, the tradeoffs you weighed, and what you'd change now, not just what the system does.
Quantify reliability and throughput improvements
Vague claims about improving data pipelines are common on resumes. Stand out by stating exactly how much latency you reduced, how many records per second your system processed, or what percentage of data quality errors you eliminated in a previous role.
Negotiate scope alongside compensation
When you receive an offer, ask which data domains you'd own and whether the role involves greenfield builds or legacy migrations. Knowing the technical scope upfront helps you evaluate the role's growth potential and gives you a concrete basis for negotiating title or responsibilities.
Data Engineering Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most data engineering specialists?
The most active employers for data engineering specialists right now are LTM Limited, Colliers Engineering & Design, and AAMC, and the most openings are in Texas, Washington, and New Jersey, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated at companies scaling their analytics infrastructure or migrating to cloud-native data platforms.
How many data engineering specialist jobs are remote?
About 75% of data engineering specialist openings are fully remote or hybrid as of November 2026, reflecting strong demand for distributed technical teams. Pipeline development and platform engineering sub-roles tend to be the most remote-friendly, while roles tied to on-premise data infrastructure or regulated industries more often require on-site presence.
How do you become a data engineering specialist?
Start by building a solid foundation in SQL and Python, then learn a distributed processing framework such as Apache Spark. Gain hands-on experience with a cloud data warehouse and an orchestration tool by completing end-to-end personal or open-source pipeline projects. Pursue a cloud provider certification to signal production readiness, then apply to junior data engineering roles where you can build on real-world pipelines and progress toward the specialist level.
Can you get a data engineering specialist job with little experience?
Yes, candidates with limited formal experience can break in by demonstrating working pipelines in a public portfolio. Build a project that ingests data from a public API, transforms it, and loads it into a queryable warehouse. Roles at smaller companies or startups are more open to candidates who show initiative through self-built projects and a clear understanding of data quality and pipeline reliability principles.
What does the data engineering specialist interview process look like?
Most data engineering specialist interview processes include an initial screening call, a take-home or live SQL and coding challenge, and a technical round focused on pipeline design and cloud architecture. A system design interview asking you to architect a data platform from requirements is common at the mid-to-senior level. Final rounds typically involve a cross-functional conversation with data analysts or product managers who rely on the pipelines you'd own.
Where can I find and apply to data engineering specialist jobs?
You can find and apply to data engineering specialist jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your stack and experience level, then apply directly to each listing that fits. All active openings are shown on this page, so you can compare roles and submit applications without leaving the site.
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