Data Analytics Engineer Jobs in Texas
Data Analytics Engineer jobs in Texas are among the most active in the country, with strong demand in energy, financial services, technology, and healthcare concentrated in Houston, Dallas, and Austin across roles from entry-level associates through senior engineers. Companies like ExxonMobil, Dell Technologies, and USAA maintain deep data engineering teams in Texas and hire consistently at multiple seniority levels. The most in-demand specialties right now are pipeline development, cloud data architecture, and business intelligence tooling, particularly on platforms like Snowflake and dbt. Find a role that fits below and apply directly.
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This position allows for a hybrid arrangement with a mix of work from home and in the office.
This position will interface with project team leadership and stakeholders to coordinate project management functions throughout the project life cycle in support of Grid work. The role will provide an opportunity to understand and develop solutions to meet Project Management needs and Client requirements for the successful execution of projects. Using a variety of industry and proprietary software tools, and under the direction of project leadership, you may perform the following tasks:
- Understand S&L and client procedures and processes, and ensure project team deliverables are in compliance
- Implement project controls and project management tools and methodology
- Assemble supporting data and documentation in response to project team and client requests
- Create workflows, processes, flowcharts, and procedures
- Support contract processing and new project setup
- Develop and compile periodic project reporting to support project monitoring and decision making
- Compile and coordinate the preparation of invoice packages
- Process Subcontractor Purchase Orders with procurement department
- Work with project management and controls department to maintain budgets, update accruals, and forecast cash flow
- Prepare, maintain, and track Change Order Logs and RFI Logs
- Attend project walkdowns and regular site visits to interface with contractors and material vendors
- Attend or run regular project stakeholder meetings and document minutes to disperse to the team
- Help prepare and compile proposals, org charts, and PowerPoint presentations
- Coordinate with project management to organize, report and present project financials, schedule status, risks and mitigation plans, contract backlogs, project status, and staffing plans
- Provide training and supervise administrative assistants
- Travel to client offices and project sites, as required
We do not sponsor employees for work authorization in the U.S. for this position.
Essential skills and experience:
- A BS in Construction Management, Business, Engineering, or similar degree
- Knowledge of field/site work sequencing including civil, structural, electrical, and other related trades in the power, heavy civil, or commercial construction industry
- Demonstrated ability to organize and prioritize work and work under pressure to meet deadlines
- Working knowledge in MS Office tools, with emphasis on the advanced use of MS Excel in creating and maintaining detailed, interactive spreadsheets, workbooks, and databases
- Excellent written and verbal communication skills, with a proven ability to interact and multitask with project team members, clients, and vendors of varying position levels
- Eager to cultivate program and project knowledge to make a valuable impact to the PMO team operation; willing to engage with others to understand PMO team and client needs
- Committed to deliver high quality, accurate deliverables with attention to detail
- Comfortable with approximately 10-25% domestic travel
- 1+ years of construction or engineering internship, co-op, or work experience which includes project controls, project planning, project scheduling, and earned value performance, preferably within the power industry
- Experience analyzing, validating, and reporting project, operational, financial, or engineering data using advanced Excel, Power BI, SQL, or similar analytics tools.
- Familiarity with data visualization, dashboard development, and KPI reporting to support project performance monitoring and decision-making.
- Experience working with large datasets, data quality validation, data cleansing, and process automation using Python, R, SQL, Power Query, or comparable tools.
- Knowledge of database concepts, data pipelines, ETL processes, or business intelligence platforms such as Power BI, Databricks, Tableau, or similar technologies.
- Demonstrated ability to identify trends, anomalies, risks, and improvement opportunities through quantitative analysis and present findings to stakeholders.
- Experience documenting business processes, developing standard operating procedures (SOPs), and supporting continuous improvement initiatives.
- Familiarity with scheduling software, preferably Primavera
- Familiarity with finance and accounting systems
- Engineering design experience is a plus
- PMP Certification is a plus
- Construction/field knowledge or experience is a plus
We value candidates who demonstrate an interest in learning and effectively using emerging technologies where relevant to their role. Employees remain accountable for their work and are expected to apply appropriate professional judgment and review when using technology-assisted tools.
Experience with AI, automation, programming, or similar technologies is valued where relevant but is not required unless specifically identified elsewhere in the job description.
At Sargent & Lundy, we care about the health and well-being of our employees. Our commitment extends beyond the workplace, offering comprehensive healthcare plans and generous paid time off to support our team members in every aspect of their lives. We understand the importance of work-life balance, which is why we are proud to provide competitive, award-winning benefits. Our dedication to employee satisfaction has earned us the prestigious Top Workplaces Culture Excellence Award for compensation and benefits in 2022, 2023, and 2024.
Health & Wellness
- Health Plans: Medical, Dental, Vision
- Life & Accident Insurance
- Disability Coverage
- Employee Assistance Program (EAP)
- Back-Up Daycare
- FSA & HSA
- 401(k)
- Pre-Tax Commuter Account
- Merit Scholarship Program
- Employee Discount Program
- Corporate Charitable Giving Program
- Tuition Assistance
- First Professional Licensure Bonus
- Employee Referral Bonus
- Paid Annual Personal/Sick Time (PST)
- Paid Vacation
- Paid Holidays
- Paid Parental Leave
- Paid Bereavement Leave
- Flexible Work Arrangements
See All 104+ Data Analytics Engineer Jobs in Texas
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Find Data Analytics Engineer JobsData Analytics Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Data Analytics Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Accounting & Auditing
- Technology & Software
- Investment & Asset Management
- Consulting & Professional Services
- Energy
What Texas Employers Look For
The qualifications that appear most often in data analytics engineer jobs across Texas.
- Bachelor's degree in computer science, engineering, mathematics, or a related quantitative field
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Hands-on experience building and maintaining data pipelines in cloud environments like AWS, Azure, or GCP
- Familiarity with modern data stack tools including dbt, Airflow, Spark, or equivalent orchestration platforms
- Experience with data warehousing solutions such as Snowflake, BigQuery, or Redshift in a production setting
- Ability to collaborate with data scientists, analysts, and business stakeholders to translate requirements into reliable data products
Data Analytics Engineer Jobs in Texas: Frequently Asked Questions
How do you become a data analytics engineer in Texas?
Data analytics engineer roles in Texas do not require a state-issued license or registration. Most employers expect a bachelor's degree in computer science, mathematics, or a related field, combined with demonstrated proficiency in SQL, Python, and cloud data platforms. Texas has a large pool of university programs at UT Austin, Texas A&M, and UT Dallas that feed directly into this pipeline, and many candidates supplement their degree with certifications in Snowflake, dbt, or major cloud providers to stand out.
How much do data analytics engineers make in Texas?
Data analytics engineers in Texas earn a median of about $122,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $64,540 for the lowest 10% to over $170,780 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics engineers in Texas?
Employers hiring data analytics engineers in Texas right now include Deloitte, CoStar, and Apple, based on current listings on Migrate Mate as of September 2026. Texas's mix of energy majors in Houston, financial services firms in Dallas, and fast-growing tech companies in Austin means openings appear across a wide range of industries rather than concentrating in a single sector.
Which Texas cities have the most data analytics engineer jobs?
Houston, Austin, and Dallas account for the largest share of data analytics engineer openings in Texas. Houston's concentration of energy and petrochemical companies drives heavy demand for pipeline and operational analytics engineering, Dallas attracts financial services, insurance, and large enterprise tech employers, and Austin's growing technology sector produces a steady stream of openings at both startups and established firms with Texas headquarters or major campuses.
Are there remote data analytics engineer jobs in Texas?
Yes, and more than most fields. Data analytics engineering is almost entirely desk-based and infrastructure-agnostic, making it one of the more remote-friendly technical roles in the market. About 51% of data analytics engineer openings tied to Texas are remote or hybrid as of September 2026. The portions of the role most commonly done remotely are pipeline development, code review, and stakeholder reporting, while on-site expectations tend to apply only at firms with strict data security or regulatory requirements.
How can I get hired as a data analytics engineer in Texas with little or no experience?
The most realistic entry path is moving laterally from a data analyst or business intelligence analyst role, since those positions share SQL and reporting skills and many Texas employers promote from within. Large Texas employers like ExxonMobil and USAA run structured rotational and early-career programs that include data engineering exposure. Building a public portfolio using dbt and a cloud provider's free tier, then targeting associate data engineer or junior analytics engineer postings at mid-size Texas tech companies in Austin or Dallas, is the concrete first step most hiring managers recognize.
Where can I find and apply to data analytics engineer jobs in Texas?
You can find and apply to data analytics engineer jobs in Texas on Migrate Mate, which lists current Texas openings updated regularly. Search the available roles, find the ones that fit your experience and location preferences, and apply directly to each posting without needing to create a profile or go through an intermediary.
See All 104+ Data Analytics Engineer Jobs in Texas
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