ZipRecruiter

Log In

1

Big Data Manager Jobs in Texas (NOW HIRING)

Wise Skulls

Big Data Engineer

Dallas, TX · On-site

$51.50 - $68/hr

Manage and optimize batch scheduling and job orchestration using enterprise schedulers such as CA7 ... Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) - deep, hands-on experience in on-premises ...

krg technology inc

Big Data Architect

Fort Worth, TX

$61 - $78.50/hr

... Management and computing tool like using Java, ETL products and BI / Data warehousing products Must have 2+ year experience working on Big Data Technologies, preferably Java, Spark and Big data tools ...

Cymertek Corporation

Big Data Engineer

San Antonio, TX · On-site

$50.25 - $66.50/hr

Responsibilities : • Experience with designing scalable data pipelines • Proficiency in managing big data tools • Strong understanding of distributed systems • Expertise in data storage ...

Cymertek Corporation

Big Data Architect

San Antonio, TX · On-site

$57.50 - $74/hr

Cymertek Corporation is looking for a skilled and innovative Big Data Architect to join their team ... in multi-cloud data management • Hands-on experience with BI integration Company : With ...

Wise Skulls Corp.

Fulltime Big Data Engineer

Dallas, TX · On-site

$55.50 - $73.25/hr

Manage and optimize batch scheduling and job orchestration using enterprise schedulers such as CA7 ... Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) deep, hands-on experience in on-premises ...

Avani Technology Solutions, Inc.

Big Data Engineer

Austin, TX · On-site

$55.25 - $73/hr

... manage multiple priorities and assess quickly to changing priorities - The resource should have good experience in Java - The resource should have knowledge and hands on Hadoop Big Data Pig Hive ...

Cymertek

Big Data Engineer

San Antonio, TX · On-site

$50.75 - $67/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in managing big data tools * Strong understanding of distributed systems * Expertise in data storage optimization * Familiarity with data governance practices * Ability to ensure data ...

Cymertek

Big Data Architect

San Antonio, TX · On-site

$58 - $74.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Big Data Architect LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this ... Expertise in multi-cloud data management * Hands-on experience with BI integration PLUG IN to ...

Wise Skulls Corp.

Full Time Role: Big Data Engineer

Dallas, TX · On-site

$55.50 - $73.25/hr

We are looking for an experienced Big Data Engineer with 7-10 years of hands-on experience to ... Manage and optimize batch scheduling and job orchestration using enterprise schedulers such as CA7 ...

Stem Xpert

Big data engineer

Houston, TX

$53.25 - $70.50/hr

It also offers outsourcing, consulting, recruitment, career transition, and vendor management ... Big Data Engineer Location: Houston, TX- locals highly preferred Duration: Through 3/31/2017 Notes:

Sonsoft Inc

Big Data Architect

Plano, TX

$61 - $78.50/hr

Experience and desire to work in a management consulting environment that requires regular travel. Strong Experience in HDFS, Hive, Oozi, Yarn,Cloudera and Big Data related components. * Strong ...

next page

Showing results 1-20

All JobsBig Data JobsBig Data Manager JobsBig Data Manager Jobs in Texas

Big Data Manager information

See Texas salary details

$28.9K

$90.5K

$160.2K

How much do big data manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for big data manager in Texas is $90,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $116,900.00 per year, depending on experience, location, and employer.

What are some common challenges big data managers face when leading cross-functional teams?

Big Data Managers often navigate challenges such as aligning diverse technical expertise, ensuring clear communication across departments, and managing competing priorities between data science, engineering, and business stakeholders. They must balance the strategic vision with practical constraints like data privacy, scalability, and project deadlines. Successful managers foster collaboration by setting clear expectations, facilitating regular check-ins, and promoting a shared understanding of project goals.

What are the key skills and qualifications needed to thrive as a big data manager?

To thrive as a Big Data Manager, you need expertise in data architecture, analytics, database management, and a strong background in computer science or a related field. Familiarity with big data platforms like Hadoop, Spark, and tools such as SQL, NoSQL databases, and relevant certifications (e.g., AWS Big Data Specialty) is highly beneficial. Exceptional leadership, problem-solving, and communication skills help in managing teams and translating business goals into technical solutions. These skills are crucial for efficiently overseeing large-scale data projects and ensuring data-driven decision-making aligns with organizational objectives.

What is a big data manager?

A Big Data Manager is a professional responsible for overseeing the collection, storage, analysis, and use of large and complex data sets within an organization. They manage teams of data engineers, analysts, and scientists to ensure data is processed efficiently and securely. Big Data Managers also develop strategies to leverage data for business insights, make technology decisions, and ensure compliance with data governance policies. Their role bridges the gap between business objectives and technical solutions in the realm of big data.

What is the difference between Big Data Manager vs Data Analyst?

AspectBig Data ManagerData Analyst
Required CredentialsBachelor's/Master's in Computer Science, Data Science, or related fields; often certifications in big data toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages data infrastructure, oversees big data projectsAnalyzes data sets, creates reports, visualizations for insights
Employer & Industry UsageUsed in tech, finance, healthcare industries managing large-scale data systemsCommon across various industries for data-driven decision making

The Big Data Manager focuses on overseeing big data infrastructure, managing teams, and ensuring data systems operate efficiently. In contrast, Data Analysts primarily interpret data, generate reports, and provide insights. Both roles require strong technical skills, but their responsibilities and focus areas differ significantly.

What are popular job titles related to Big Data Manager jobs in Texas?

For Big Data Manager jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Big Data Manager jobs in Texas look for?

The top searched job categories for Big Data Manager jobs in Texas are:

What cities in Texas are hiring for Big Data Manager jobs?

Cities in Texas with the most Big Data Manager job openings:

Big Data Manager jobs near you
Infographic showing various Big Data Manager job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,505 per year, or $43.5 per hour.

Big Data Engineer

Wise Skulls

Dallas, TX • On-site

$51.50 - $68/hr

Full-time

Posted 14 days ago

Job description

Title: Big Data Engineer
Location: Dallas, TX (Hybrid)
JD:
Summary
We are looking for an experienced Big Data Engineer with 7-10 years of hands-on experience to design, build, and maintain scalable data pipelines and processing systems in an on-premises Big Data environment. Beyond strong individual contribution, the ideal candidate will own architecture and design decisions, set technical direction, and mentor and support other developers on the team. The role works closely with cross-functional teams to deliver reliable, high-quality data solutions that support business and analytics needs.
Roles & Responsibilities
  • Lead the design, development, and maintenance of robust, scalable data pipelines for ingestion, transformation, and processing of large datasets in an on-premises environment.
  • Own architectural and design decisions for data solutions, evaluating trade-offs and defining technical standards for the team.
  • Mentor, guide, and support other data engineers through code reviews, design reviews, technical coaching, and hands-on problem-solving.
  • Build and optimize data workflows using Python, Spark, and the Hadoop ecosystem.
  • Work extensively with Hadoop ecosystem components (Hive, HDFS, Impala) to manage and query large-scale data.
  • Manage and optimize batch scheduling and job orchestration using enterprise schedulers such as CA7 or Control-M.
  • Ensure data quality, integrity, and performance across data platforms.
  • Collaborate with data analysts, data scientists, and business stakeholders to translate data requirements into sound technical designs.
  • Troubleshoot and resolve complex issues in data pipelines and production environments, acting as an escalation point for the team.
  • Champion best practices for coding standards, version control, testing, and documentation.
  • Stay current with emerging technologies, particularly AI/ML capabilities, and identify opportunities to apply them to data engineering workflows.

Technical Skills
Must Have
  • 7-10 years of overall experience in data engineering, with a proven track record in technical leadership (design ownership, mentoring, guiding development teams).
  • Python - strong hands-on development experience building production-grade data solutions.
  • Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) - deep, hands-on experience in on-premises environments.
  • Apache Spark - solid experience developing and tuning large-scale distributed data processing jobs.
  • Job scheduling / orchestration - hands-on experience with CA7 or Control-M (or comparable enterprise schedulers).
  • Strong understanding of data structures, ETL processes, and SQL.
  • Extensive experience with large-scale data processing and distributed systems.
  • Demonstrated ability to make sound architecture/design decisions and to mentor and support other developers.
  • Exposure to AI/ML concepts or tools, with a strong willingness to learn and grow in this space.
  • Banking/Financial domain highly preferred

Apply