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Data Engineer Data Analyst Jobs in Spring, TX (NOW HIRING)

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery. * Support pod-level delivery by producing ...

Apply strong analytical and programming skills to evaluate demographic, economic, and geographic ... Apply advanced knowledge in economics, statistics, and data science to develop forecasting models ...

Main Purpose of Job The Data Analysts role will be to partner with stakeholders across the ... Ability to work independently with minimal Engineering support * Extensive experience with data ...

Azure Data Engineer

Houston, TX

$109K - $131K/yr

Job Title:- Azure Data Engineer Location:- Spring Texas (On-Site) Need Only Local to Houston, TX ... Perform root cause analysis on external and internal processes and data to identify opportunity for ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Analytics Engineer

Houston, TX · On-site

$105K - $126K/yr

Data Analytics Engineer Location: Houston, TX - Onsite Duration: 12+ Months Note: Need Locals and W2 Candidates Only Required Qualifications: • Bachelor's degree in Engineering, Computer Science ...

New

The role includes data-quality management, well-history reviews, wellbore schematic management, AFE routing, and ad hoc engineering support. The Data Analyst will transform data into actionable ...

... goals by collecting, cleaning, analyzing, and visualizing data, and using the resulting ... Partner with Engineering, Data Science, and other teams to identify and use the data needed to ...

Arthur Lawrence is looking for a Data Analyst one our clients in Houston, TX. Please find the below ... Background supporting engineering, project management, or operations teams. About Us: Arthur ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models ... Model curated, analytics-ready datasets and serving layers that are well-documented, performant ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models ... Model curated, analytics-ready datasets and serving layers that are well-documented, performant ...

Data Engineer

Houston, TX · On-site

$89K - $148K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse seeks a Data Engineer with some AI experience to support in building ...

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational performance visibility, enabling real-time insight into revenue, backlog, margin, labor utilization ...

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational performance visibility, enabling real-time insight into revenue, backlog, margin, labor utilization ...

*This is a contingent opportunity Data Analyst K2 Group is seeking a Data Analyst in support of Headquarters, Installation Management Command (IMCOM) Provost Marshal/Protection Support Services (PM ...

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational performance visibility, enabling real-time insight into revenue, backlog, margin, labor utilization ...

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational performance visibility, enabling real-time insight into revenue, backlog, margin, labor utilization ...

Showing results 41-60

Data Engineer Data Analyst information

See Spring, TX salary details

$30.3K

$73.5K

$121K

How much do data engineer data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer data analyst in Spring, TX is $73,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in Spring, TX?

For Data Engineer Data Analyst jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in Spring, TX look for?

The top searched job categories for Data Engineer Data Analyst jobs in Spring, TX are:

What cities near Spring, TX are hiring for Data Engineer Data Analyst jobs?

Cities near Spring, TX with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in Spring, TX as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution, with an average salary of $73,541 per year, or $35.4 per hour.

Enterprise Data Analyst

Husch Blackwell LLP

Houston, TX • On-site, Remote

Full-time

Posted 28 days ago


Husch Blackwell rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

3rd of 34 rated law firms


Job description

Husch Blackwell LLP is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.

At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Enterprise Data Analyst position. This position may be filled remotely or in a hybrid capacity in any of our Central and Eastern Time locations. Strong candidates located in Mountain Time will also be considered.

The Enterprise Data Analyst is a firmwide shared-services role within the Firm’s Data Science function. The analyst turns the Firm’s data, client data, and the extensive internal data the Firm maintains into clear, actionable insight, delivered primarily through Power BI dashboards and reports that teams across the Firm rely on. The role will initially support a key business unit, with scope expanding to serve additional practice groups and functions across the Firm over time. The right candidate will be skilled in the visual display of quantitative information and have a passion for high impact data storytelling. Essential functions include:

Data Analysis & Insight

  • Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns, and actionable insights
  • Clean, transform, and structure data to ensure accuracy, consistency, and readiness for analysis
  • Apply statistical and data-modeling techniques to answer business questions and support decision-making
  • Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and enhance data products
  • Translate stakeholder questions into clearly defined analytical problems, prioritizing work by impact and urgency

Dashboarding & Reporting

  • Design, build, and maintain Power BI dashboards that serve as the Firm’s primary, everyday reporting tools
  • Build automated, self-service reports and visualizations in Power BI and Tableau, tailored to different audiences across the Firm
  • Use data storytelling to deliver client-facing data presentations and executive-level reports that communicate findings clearly to key partners, clients, and other internal and external stakeholders, and drive action
  • Collaborate with the Data Science Information Design and Engineering function to deliver data visualization and information rich analyses across various media types
  • Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics

Data Management & Quality

  • Partner with the Data Engineering team to source, integrate, and validate data from across the Firm
  • Develop and apply data quality standards to ensure reliable, trustworthy outputs
  • Document data sources, definitions, and methodologies to support consistency and reuse
  • Maintain and enhance existing datasets, models, and reporting pipelines

Cross-Functional Collaboration

  • Partner with teams across the Firm; including Finance and client-facing groups to gather requirements and align on objectives
  • Work directly with internal stakeholders and, where appropriate, clients to understand needs and deliver solutions
  • Connect analytical findings to business outcomes and Firm priorities

Continuous Improvement & Growth

  • Share knowledge and best practices to elevate data and analytics capabilities across the Firm
  • Identify opportunities to automate, improve, and scale analytics as the function grows
  • Contribute to building out the Firm’s enterprise data and analytics capabilities over time
  • Develop and improve reporting and business intelligence techniques to align the firm with leading edge information and business intelligence delivery
  • Engage in research and study to continuously improve the Firm’s reporting and business intelligence

POSITION REQUIREMENTS

  • Bachelor’s degree in statistics, economics, computer science, information design, or a related quantitative communications field; commensurate professional and educational experience shall also qualify
  • 3+ years in data analysis, business intelligence, or a related analytical role (the role may be filled at more than one level; strong candidates earlier in their careers will also be considered)
  • Advanced, demonstrable proficiency in Power BI is required; including building, publishing, and maintaining production dashboards
  • Strong proficiency in Excel and SQL, with experience querying and working with large, complex datasets
  • Proficiency with basic statistical and analytical tools including the Python statistical ecosystem
  • Experience working with data warehouses, databases, and modern BI/data platforms
  • Strong data storytelling skills, with a proven ability to design clear, effective data visualizations and deliver client-facing presentations to partners, clients, and other internal and external stakeholders
  • Experience with statistical modeling, regression analysis, and null hypothesis significance testing
  • Proven ability to independently scope and lead complex data analysis projects
  • Experience analyzing financial and operational performance metrics and the drivers behind them
  • Fluent in translating complex data into clear implications and actionable recommendations for the business
  • Comfortable working with large, complex datasets and developing data quality standards
  • Experience working directly with senior stakeholders and, where appropriate, clients
  • Operates with a client-service mindset; responsive, proactive, and a trusted advisor
  • Comfortable working at both strategic and tactical levels
  • Thrives in fast-paced environments with shifting priorities
  • Strong attention to detail and ability to maintain accuracy under pressure
  • Eager to contribute beyond assigned tasks and play a key role in the growth of a new, firmwide analytics function
  • Understanding of data confidentiality and the sensitivity of legal and client information

Preferred Qualifications

  • Experience supporting multiple business units or functions in a shared-services or enterprise environment
  • Experience with data pipeline or ETL processes and working alongside data engineers
  • Experience applying AI and generative-AI tools to accelerate and enhance analytics
  • Familiarity and comfort with executive level communication and presentations

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. The Firm will provide reasonable accommodations as necessary to allow an individual with a disability to apply for and/or perform the essential functions of a position. If you need assistance to accommodate a disability, please contact HR.

COMPENSATION AND BENEFITS

Employees are entitled to compensation commensurate with skill and experience. The exact compensation will vary based on skills, experience, location, and other factors permitted by law. The expected compensation ranges for this position in various states and jurisdictions are as follows:

  • State of California: $116,000 - $237,000
  • State of Colorado: $107,000 - $191,000
  • State of Illinois: $105,000 - $204,000
  • State of Maine: $79,000 - $182,000
  • State of Maryland: $113,000 - $171,000
  • State of Massachusetts: $116,000 - $222,000
  • State of Minnesota: $116,000 - $192,000
  • Jersey City, NJ: $126,000 - $229,000
  • State of New York: $108,000 - $234,000
  • State of Vermont: $115,000 - $220,000
  • State of Virginia: $76,000 - $220,000
  • State of Washington: $113,000 - $214,000
  • Washington, D.C.: $150,000 - $220,000

The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. Full-time employees receive benefits including: medical and dental coverage; life insurance; short-term and long-term disability insurance; pre-tax flexible spending account for certain medical and dependent care expenses; an employee assistance program; Paid Time Off; paid holidays; participation in a retirement plan program after meeting eligibility requirements; and more.

Please include a cover letter and resume when applying.

EOE/Minority/Female/Disabled/Vet. Principal Applicants Only.

#LI-Remote
#LI-KW1


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