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

This role partners closely with Data Engineering on data pipelines and warehouse structures, and increasingly supports the credit union's on-premises analytics initiatives by ensuring the underlying ...

This role partners closely with Data Engineering on data pipelines and warehouse structures, and increasingly supports the credit union's on-premises analytics initiatives by ensuring the underlying ...

This role partners closely with Data Engineering on data pipelines and warehouse structures, and increasingly supports the credit union's on-premises analytics initiatives by ensuring the underlying ...

Data Engineer

Houston, TX · On-site

$60/hr

Data Engineer Location: Houston Tx Experience: 4-7 Years Mandatory Certification: * Databricks ... Collaborate with Data Analysts, Data Scientists, Product Managers, and business stakeholders to ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

We are seeking a motivated and detail-oriented Data Analyst to join our team at Insolation Technology LTD , an established engineering consulting firm. The Data Analyst will be responsible for ...

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Houston, TX - 4 days/week onsite Duration: Full time / Direct Hire The Principal Data Engineer within the Data Science and Analytics team, plays a crucial role in architecting, implementing, and ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Expert-level SQL development and data analysis skills, including advanced query optimization and debugging. * Strong Python engineering skills and familiarity with software design principles and ...

Data Engineer III

The Woodlands, TX

$104K - $125K/yr

Data Engineering Supervisor Location: The Woodlands, TX Amount of Travel Required: 5-10% Work ... Continuously evaluate and adopt new data management and analytics technologies. * Educate and ...

Data Analyst

Houston, TX · On-site

$70 - $90/hr

Data Analyst Job Location: Houston, TX OpenSkills * Demonstrate critical thinking, analytical ... Be able to translate data requirements into business processes and reverse engineer business ...

Sr. Data Engineer

The Woodlands, TX · On-site

$104K - $125K/yr

You will partner with business stakeholders, analysts, application teams, and infrastructure ... Engineer data solutions using Microsoft Fabric * Design and implement Lakehouse/Warehouse ...

Public Health Data Engineer

Houston, TX

$109K - $131K/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 to support the development, maintenance, and ...

Public Health Data Engineer

Houston, TX · On-site

$70K - $116K/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 to support the development, maintenance, and ...

Showing results 21-40

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.

Full-time

Re-posted 3 hours ago


Job description

Role:

The Data Analyst aggregates data into decision-ready insights for leadership and executives enabling well-informed business decisions. Working within the Data Operations Department, the Data Analyst collects and analyzes data from core banking, lending, and member-facing systems — sales figures, market and member research, operational metrics, and more. This role partners closely with Data Engineering on data pipelines and warehouse structures, and increasingly supports the credit union's on-premises analytics initiatives by ensuring the underlying data is clean, well-documented, and trustworthy.

Essential Functions & Responsibilities:

Analyze member, financial, and operational data from core banking (DB2) and SQL Server systems to identify trends, patterns, and opportunities that support credit union decision-making.

Design, build, and maintain reports and dashboards (Power BI, Excel, SQL-based reporting) that translate raw data into clear, actionable insights for business stakeholders.

Partner with the Data Engineering and Data Operations team to define reporting requirements, validate data warehouse outputs, and ensure data accuracy across source systems.

Document data definitions, business rules, and key metrics; maintain a consistent, well-understood data dictionary to support self-service reporting across the credit union.

Perform other job duties as assigned, including ad hoc analysis in support of regulatory, audit, and operational requests.

Performance Measurements:

  1. Create intelligent, informative written and visual reports or dashboards that stakeholders can act on.
  2. Identifies and implements key measurements used in the day-to-day management of the credit union.
  3. Maintains accurate, well-documented data definitions and reporting logic.
  4. Ability to analyze data efficiently and accurately at a high level.

Knowledge and Skills:

Experience: Three years to five years of similar or related experience.

Education: (1) A bachelor's degree, or (2) achievement of formal certifications recognized in the industry as equivalent to a bachelor's degree (e.g., information technology certifications in lieu of a degree).

Interpersonal Skills: Work involves much personal contact with others inside and/or outside the organization for the purpose of first-level conflict resolution, building relationships, and soliciting cooperation. Discussions involve a higher degree of confidentiality and discretion, requiring diplomacy and tact in communication.

Other Skills:

  • A high knowledge of mathematical and analytical ability
  • Report writing 
  • The ability to analyze, model and interpret data
  • Problem-solving skills
  • Accuracy and attention to detail
  • Knowledge of data profiling and proven experience in data mining, collation and dashboard creation
  • Strong, professional written and verbal communication skills with the ability to work with all levels within the credit union; confidence in your ability to anticipate what is needed; flexibility and ability to us initiative
  • Strong analytical skills with proven experience of managing/ handling data
  • A wealth of data management experience and working knowledge of reporting universe structures and processes
  • Advanced skills in presentation of data
  • Working knowledge of relational databases and how they are manipulated
  • Experience in using statistical techniques in a credit union environment
  • Ideally the experience or ability to learn SQL or JAVA
  • Excellent time management and organization skills and be able to deliver deadlines
  • Good understanding of business drivers and service standards and have a proactive approach to service improvement
  • Personable, positive and resilient creative thinker 
  • Team Player with strong work ethic
  • A ‘can-do’ attitude and high degree of energy and focus on engaging with new ideas
  • Pragmatic approach to problem solving and ability to use initiative as appropriate 
  • Friendly, confident and positive person who remains calm and professional under pressure 
  • Must be able to work flexibly to meet the needs of the business
  • Excellent skills in Microsoft Office, in particular Excel (formulas, data capture and pivot tables), and in-depth knowledge of integrated business and accounting systems
  • Any other duties that may be required from time to time for the smooth running of the credit union