Data Operations Analyst Jobs in North Carolina
Data Operations Analyst jobs in North Carolina are in strong and steady demand, concentrated in financial services, healthcare systems, technology, and logistics operations, with openings at every level from entry-level data coordinators through senior analysts. Charlotte, Raleigh, and Durham are the primary hiring metros, where employers like Bank of America, Duke Health, and Fiserv maintain large operations teams that depend on data operations talent. The most sought-after specialties in North Carolina listings are data quality management, pipeline operations, and ETL process ownership. Find a role that fits below and apply directly.
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Our work makes a clear contribution to society and the environment around us. We build in many different verticals. Whether we are building schools to provide inspiring spaces for learning, roads to connect communities, or hospitals to care for patients, it all contributes to our purpose – we build for a better society.
Skanska's values —Be Better Together, Act Ethically and Transparently, Commit to Customer, and Care for Life—are deeply engrained in how we work, which is why our values support and drive our D&I efforts.
The Senior Data Engineer is a senior technical contributor within the Data Management and Analytics team responsible for the design, technical leadership, delivery, and operation of complex enterprise data solutions. The role provides technical ownership across data engineering initiatives, translating target-state architecture and platform standards into scalable, secure, governed, and supportable solutions.
The Senior Data Engineer leads the technical execution of data modernization efforts, independently solves complex engineering problems, and ensures solutions meet enterprise standards for performance, security, reliability, observability, governance, and cost. In addition to hands-on engineering, the role provides technical guidance through design and code reviews, mentoring, knowledge sharing, and continuous improvement of engineering practices.
What You’ll Do:
- Provide technical ownership for complex data engineering initiatives, from detailed solution design through implementation, deployment, operational readiness, and production support.
- Translate target-state architecture and approved reference patterns into detailed engineering designs, ensuring consistent implementation across projects, domains, and modernization efforts.
- Lead the technical delivery of legacy modernization and migration initiatives, including assessment, dependency analysis, data reconciliation, cutover, performance validation, and decommissioning.
- Design and deliver scalable enterprise data solutions across ingestion, transformation, orchestration, storage, modeling, and serving layers using SQL, Python, PySpark, Spark SQL, APIs, CDC, streaming, and file-based integration patterns.
- Develop reusable engineering components and implementation patterns that improve consistency, maintainability, and operational support.
- Own detailed technical design decisions for assigned solutions, evaluating trade-offs involving performance, scalability, security, reliability, maintainability, and cost.
- Design governed data products with clear ownership, documentation, quality rules, lineage, and operational expectations.
- Promote engineering quality through design reviews, code reviews, automated testing, CI/CD, and deployment practices.
- Implement observability and data-quality capabilities covering pipeline health, freshness, lineage, reconciliation, performance, and failures.
- Lead troubleshooting and root-cause analysis for complex or high-impact production incidents and identify improvements that prevent recurrence.
- Optimize workloads for performance, resilience, scalability, and platform consumption using appropriate FinOps practices.
- Mentor Data Engineers through technical guidance, design discussions, code reviews, problem solving, and knowledge sharing.
- Collaborate with team members and cross-functional teams, identify gaps in engineering standards, and recommend improvements to development practices, automation, governance, platform capabilities, and emerging data and AI solutions.
Senior Data Engineer Required Qualifications:
- 5+ years of progressive data engineering experience, including independently designing and delivering complex enterprise data solutions.
- 2+ Advanced proficiency in SQL/T-SQL with strong hands-on experience in Python, PySpark, Spark SQL, Delta Lake, Lakehouse, Medallion Architecture, and dimensional modeling.
- 2+ years of experience with Microsoft Fabric, Azure Databricks, or a comparable modern enterprise data platform, with Microsoft Fabric preferred.
- 2+ Strong experience designing ETL/ELT and integration solutions using APIs, batch, incremental loading, CDC, file-based, and streaming patterns.
- Bachelor's degree in computer science, information systems, data engineering, or a related discipline, or equivalent practical experience.
Our Investment in you:
- We believe that Benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options (including medical, dental, and vision insurance plans), expert guidance, and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially, and emotionally through the big milestones and in your everyday life. Please visit the compensation and Benefits summary on our careers site for more details.
- As a Skanska community, our values ground us, and our diversity of experience propels us forward. No matter what your career stage, there’s a place for you to thrive here and partner with us in shaping how our world lives, moves, and connects.
- At Skanska, we Care for Life. And we’re committed to supporting your whole health and peace of mind through inclusive and personalized total rewards.
- We’re committed to your success by developing you in your role and supporting your career growth
- Compensation and financial well-being – Competitive base salary, excellent bonus program, 401k, & Employee ownership program.
Apply Today for Immediate Consideration!:
Skanska is an Equal Employment Opportunity (EEO) Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, disability, age, genetic information, citizenship, protected veteran status, or any other categories protected under applicable federal, state, and local laws.
Skanska Equal Employment Opportunity
Skanska uses knowledge & foresight to shape the way people live, work, and connect. More than 135 years in the making, we’re one of the world’s largest construction and project development companies. With operations in select markets throughout the Nordics, Europe, and the United States, global revenue totaled $15.9 billion in 2024.
Skanska in the U.S. operates 28 offices across the country, with its headquarters in New York City. In 2024, the U.S. construction sector generated $8.2 billion in revenue, and the U.S. development sector’s net investments in commercial projects totaled $224 million.
Together with our customers and the collective expertise of our 6,300 teammates in the U.S. and 26,300 globally, we create innovative and sustainable solutions that support healthy living beyond our lifetime.
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See All 574+ Data Operations Analyst Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Data Operations Analyst JobsData Operations Analyst Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Data Operations Analyst Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring
- First Citizens Bank16

- Bank of America13

- Apple11

- Truist11

- Trane Technologies11

Top Industries Hiring
- Technology & Software26
- Consulting & Professional Services7
- Banking & Financial Services6
- Education5
- Manufacturing5
What North Carolina Employers Look For
The qualifications that appear most often in data operations analyst jobs across North Carolina.
- Bachelor's degree in information systems, computer science, or a related analytical field
- Proficiency in SQL for querying, transforming, and validating large operational datasets
- Hands-on experience with ETL tools, data pipelines, or workflow automation platforms
- Familiarity with data quality frameworks, validation rules, and root-cause analysis processes
- Experience working with cloud data platforms such as Snowflake, Azure, or AWS Redshift
- Strong communication skills for coordinating with business stakeholders and technical teams
Data Operations Analyst Jobs in North Carolina: Frequently Asked Questions
How do you become a data operations analyst in North Carolina?
Most data operations analyst roles in North Carolina require a bachelor's degree in information systems, computer science, business analytics, or a related field. There is no state-issued license specific to this role. Employers in Charlotte's financial sector and the Research Triangle's tech and healthcare industries typically prioritize candidates with SQL proficiency, demonstrated experience with data pipelines, and relevant certifications such as those from cloud providers or the Data Management Association.
Which companies hire data operations analysts in North Carolina?
Employers hiring data operations analysts in North Carolina right now include First Citizens Bank, Bank of America, and Apple, based on current listings on Migrate Mate as of November 2026. North Carolina's concentration of large financial institutions in Charlotte and research-driven healthcare organizations in the Triangle region creates consistent, ongoing demand for this role across multiple industries.
Which North Carolina cities have the most data operations analyst jobs?
Charlotte, Raleigh, and Durham account for the most data operations analyst openings in North Carolina. Charlotte leads because of its dense concentration of financial services firms and corporate operations centers, while Raleigh and Durham benefit from Research Triangle Park's technology and life sciences employers, which generate substantial demand for data operations and pipeline management talent.
Are there remote data operations analyst jobs in North Carolina?
Yes, and more than most fields, since data operations work is primarily desk-based and systems-driven. About 71% of data operations analyst openings tied to North Carolina are remote or hybrid as of November 2026, reflecting how well-suited the role is for distributed teams. Pipeline monitoring, data quality validation, and reporting tasks are the functions most commonly performed fully remotely.
How can I get hired as a data operations analyst in North Carolina with little or no experience?
The most realistic entry path is through a data analyst associate or junior data operations role at one of North Carolina's large healthcare systems or financial institutions, such as Atrium Health, Duke Health, or a Charlotte-based bank. Candidates with no experience benefit from building SQL skills through coursework, earning an entry-level cloud certification, and targeting operations coordinator or reporting analyst roles as lateral stepping stones into the data operations function.
Where can I find and apply to data operations analyst jobs in North Carolina?
You can find and apply to data operations analyst jobs in North Carolina on Migrate Mate, which lists current openings across the state. Find roles that match your experience and location, then apply directly to the employers posting them.
See All 574+ Data Operations Analyst Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Data Operations Analyst Jobs