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Data Engineer Data Analyst Jobs in Grapevine, TX

Smash CR

Data Analyst (P-174)

Dallas, TX · On-site

$90 - $130/hr

Analyze complex and large-scale datasets to identify trends, patterns, anomalies, and actionable ... Exposure to modern data engineering, data lake, or data warehouse architectures. Languages

Smash CR

Data Analyst (P-174)

Dallas, TX · On-site

Analyze complex and large-scale datasets to identify trends, patterns, anomalies, and actionable ... Exposure to modern data engineering, data lake, or data warehouse architectures. Languages

Forhyre

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... Document component design for developers and for broader communication. * Understand and adopt an ...

Refinitiv

Lead Data Engineer

Frisco, TX · On-site

$110 - $204/hr

Lead Data Engineer We are seeking a highly skilled and strategic Lead Data Engineer to join our ... Conduct in-depth analysis of large, complex datasets to uncover critical trends, patterns, and ...

Posted today

Ascentt

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Ascentt is transforming the future of manufacturing through advanced Data Analytics, AI/ML, and ... Our teams work on scalable, high-impact engineering challenges across cloud, data, and intelligent ...

Smash CR

Data Analyst (P-174)

Dallas, TX · On-site

Analyze complex and large-scale datasets to identify trends, patterns, anomalies, and actionable ... Exposure to modern data engineering, data lake, or data warehouse architectures. Languages

Navan

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Travel Product org is seeking a versatile Data Engineer to join our Product Strategy and ... In this hybrid role, you will play a critical part in shaping our analytics infrastructure and ...

Addison Group

Data Engineer

Irving, TX · On-site

$100 - $120K/hr

Data Engineer -Pay Range: $100-$120K -Location: Dallas-Fort Worth, TX -Benefits: Medical, Dental, Vision, 401(k) We are looking to bring on a 3-6 year Data Engineer to our growing team. What we will ...

Addison Group

Data Engineer

Irving, TX · On-site

$100 - $120K/hr

Data Engineer -Pay Range: $100-$120K -Location: Dallas-Fort Worth, TX -Benefits: Medical, Dental, Vision, 401(k) We are looking to bring on a 3-6 year Data Engineer to our growing team. What we will ...

Genius Road, LLC

Senior Enterprise Data Analyst

Dallas, TX · On-site

$85K - $107K/yr

You'll work closely with database administrators, ETL developers, data engineers, and business partners to analyze data, troubleshoot issues, support enterprise data platforms, and contribute to ...

Navan

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Travel Product org is seeking a versatile Data Engineer to join our Product Strategy and ... In this hybrid role, you will play a critical part in shaping our analytics infrastructure and ...

LP Analyst

Data Analyst - Data Operations

Dallas, TX · On-site

LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm. They are seeking a detail-oriented and technically motivated Data Analyst to join their ...

3B Staffing LLC

Cloud Data Engineer

Murphy, TX · On-site

$109K - $131K/yr

... analytics use cases. The ideal candidate will have strong experience in cloud data engineering, ETL/ELT pipelines, and data warehousing, along with exposure to multi-cloud environments (AWS/Azure/GCP)

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Showing results 41-60

All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Grapevine, TX

Data Engineer Data Analyst information

See Grapevine, TX salary details

$31.4K

$76.3K

$125.6K

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

As of Sep 4, 2026, the average yearly pay for data engineer data analyst in Grapevine, TX is $76,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,600.00 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 Grapevine, TX?

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

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

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

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

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

Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Grapevine, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $76,350 per year, or $36.7 per hour.

Data Analyst (P-174)

Smash CR

Dallas, TX • On-site

$90 - $130/hr

Other

Posted 16 days ago

Job description

SMASH, Who we are?

We believe in long-lasting relationships with our talent. We invest time getting to know them and understanding what they seek as their professional next step.

We aim to find the perfect match. As agents, we pair our talent with our US clients, not only by their technical skills but as a cultural fit. Our core competency is to find the right talent fast.

We purposefully move away from the “contractor” or “outsourcing” type of relationship. Our clients don’t want contractors or “just a service.” Neither does our talent.

This position and offers the opportunity to work with a US-based company. To be eligible for this role, you must have US Citizenship or valid US work authorization.

Role summary

We are looking for an experiencedTechnical Data Analystwith a strong background in data analysis, large-scale data processing, and cloud-based data environments.

The ideal candidate will bring hands‑on expertise withSQL, Python, Spark, Spark SQL, PySpark, and Microsoft Azureand will be comfortable working with complex datasets and technical data workflows. Experience withMicrosoft Fabricand within thePharmaceutical, Life Sciences, or Insuranceindustries will be highly valued.

Responsibilities
  • Analyze complex and large-scale datasets to identify trends, patterns, anomalies, and actionable insights.
  • Develop advanced SQL queries to extract, transform, validate, and analyze data.
  • Use Python and PySpark for data processing, transformation, automation, and analysis.
  • Work with Apache Spark and Spark SQL to process and analyze large datasets efficiently.
  • Support data analysis initiatives within Microsoft Azure environments.
  • Collaborate with technical and business stakeholders to understand data requirements and translate them into analytical solutions.
  • Perform data profiling, validation, reconciliation, and quality analysis to ensure accuracy and consistency.
  • Investigate data issues and perform root‑cause analysis across datasets and data workflows.
  • Support the development and improvement of scalable data processes and analytical solutions.
  • Document data requirements, business rules, analytical findings, and technical processes.
  • Communicate technical findings clearly to both technical and non‑technical stakeholders.
Requirements – Must‑haves
  • 5–6+ years of experienceworking on technical Data Analyst or closely related data projects.
  • Strong hands‑onSQLexperience.
  • Strong hands‑onPythonexperience for data analysis and processing.
  • Experience withApache Spark.
  • Strong experience withSpark SQL.
  • Hands‑on experience withPySpark.
  • Experience working withinMicrosoft Azuredata environments.
  • Experience analyzing and transforming large and complex datasets.
  • Strong understanding of data structures, data quality, and data validation.
  • Strong analytical and problem‑solving skills.
  • Ability to independently investigate technical data issues and drive them toward resolution.
  • Strong communication skills and ability to collaborate across technical and business teams.
Nice‑to‑haves (optional)
  • Hands‑on experience withMicrosoft Fabric – strongly preferred.
  • Pharmaceutical industry experience.
  • Life Sciences industry experience.
  • Insurance industry experience.
  • Experience working with enterprise‑scale cloud data platforms.
  • Exposure to modern data engineering, data lake, or data warehouse architectures.
Languages
  • English C1
  • Spanish C1
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