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Data Pipeline Jobs in Texas (NOW HIRING)

Data Pipeline Engineer

Dallas, TX · On-site

$113K - $136K/yr

DATA PIPELINE ENGINEER Location: Dallas, TX - Hybrid MUST BE CURRENTLY WORKING AT A BANK A leading global financial institution is seeking a highly skilled Data Pipeline Engineer to drive its unified ...

Data Pipeline Engineer - W2

Dallas, TX · On-site

$113K - $136K/yr

Data Pipeline Engineer Location: Dallas TX (Hybrid) Must have - (Only Consider 14-15 Years profile) Mandatory Requirements * 3-8 years of experience building and optimizing data pipelines within ...

Data Engineer

Irving, TX · On-site

$110K - $133K/yr

Design, develop, and maintain scalable data pipelines and ETL processes * Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing * Optimize database performance ...

Data warehouse Developer

Plano, TX · On-site

$47.50 - $65/hr

The primary responsibilities include developing and maintaining data pipelines using various technologies such as Python, SQL, and AWS services. Responsibilities : • Data pipeline development ...

Data Engineer

Houston, TX · On-site

$45 - $50/hr

Data Modeling. ETL/Data Pipeline Engineering. AI/ML Frameworks. Cloud Platforms including Azure and/or AWS. Strong Software Development fundamentals. System Design and Architecture. Full-stack ...

New

Junior Data Engineer

Plano, TX · On-site

$110K - $132K/yr

The role involves designing and maintaining scalable ETL/ELT pipelines and collaborating with stakeholders to develop data solutions. Responsibilities : • Design, develop, and maintain scalable ETL ...

GCP Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Responsibilities : • Support analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance ...

Big Data Engineer

San Antonio, TX · On-site

$50.25 - $66.50/hr

In this role, you will design, develop, and maintain data pipelines to support business intelligence and analytics needs, while optimizing data storage solutions. Responsibilities : • Experience ...

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Experience with ETL processes and data pipeline design. * Design, build, and maintain scalable data pipelines using Google Cloud Platform tools such as BigQuery, Cloud Storage, Dataflow (Apache Beam ...

Data Engineer, Cloud Platform

Austin, TX · On-site

$113K - $136K/yr

The Data Engineer will help scale the Cloud Platform Analytics Data Pipeline, ensuring data accuracy and empowering internal teams with the necessary analytics for effective decision-making.

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Experience with ETL processes and data pipeline design. * Design, build, and maintain scalable data pipelines using Google Cloud Platform tools such as BigQuery, Cloud Storage, Dataflow (Apache Beam ...

GCP Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Responsibilities : • Support analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance ...

Data Engineer

Houston, TX · On-site

$105K - $126K/yr

Mandatory Skills: • 5+ years of relevant software/data engineering experience. • Oil and Gas Experience preferred • Python • SQL • Data Modeling • ETL/Data Pipeline Engineering • AI/ML ...

Posted today

Data Engineer

Dallas, TX · On-site

$80 - $100/hr

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing systems and building them from the ground up. The Data architect will support our database ...

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Showing results 1-20

Data Pipeline information

See Texas salary details

$21.1K

$108.3K

$175.9K

How much do data pipeline jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data pipeline in Texas is $108,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,751.00 and $136,751.00 per year, depending on experience, location, and employer.

What does a data pipeline do?

A Data Pipeline job involves designing, building, and maintaining systems that automate the flow of data from various sources to storage and processing destinations. It includes extracting data from databases, APIs, or streaming sources, transforming it into the desired format, and loading it into data warehouses, lakes, or analytics platforms. The role requires expertise in data engineering, ETL (Extract, Transform, Load) processes, cloud computing, and workflow orchestration tools. Strong knowledge of programming languages like Python or SQL and experience with frameworks like Apache Airflow or Spark is often essential. The goal is to ensure data is efficiently collected, processed, and made available for analysis and decision-making.

What skills and qualifications are needed for a data pipeline?

To excel in a Data Pipeline role, you need strong skills in data engineering, programming (often Python, Java, or Scala), and experience with ETL (Extract, Transform, Load) processes, usually supported by a degree in computer science or a related field. Familiarity with technologies such as Apache Spark, Hadoop, Airflow, Kafka, and cloud platforms like AWS or GCP, along with relevant data engineering certifications, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills are critical for success in this position. These technical and interpersonal skills are essential for building, maintaining, and optimizing reliable data workflows that support business decision-making.

What are common challenges faced in data pipeline roles, and how are they addressed?

Professionals in Data Pipeline roles often encounter challenges such as handling large volumes of rapidly changing data, ensuring data quality, and minimizing downtime during data transfers. Addressing these issues typically involves implementing robust error-handling processes, automating data validation steps, and using scalable, resilient technologies. Collaboration with data analysts, software engineers, and business stakeholders is key to ensuring that pipelines meet organizational needs and remain flexible with evolving requirements. Continuous learning and adapting to new tools or frameworks also help Data Pipeline engineers stay ahead in this dynamic field.

Are data pipeline jobs in demand?

Data pipeline jobs are in high demand due to the increasing need for data integration, processing, and management across industries. Professionals with skills in tools like Apache Airflow, Spark, and cloud platforms are particularly sought after, and the role often requires knowledge of data engineering and scripting. The demand is expected to grow as organizations continue to rely on data-driven decision making.

What are the most commonly searched types of Data Pipeline jobs in Texas?

The most popular types of Data Pipeline jobs in Texas are:

What cities in Texas are hiring for Data Pipeline jobs?

Cities in Texas with the most Data Pipeline job openings:

Infographic showing various Data Pipeline job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $108,285 per year, or $52.1 per hour.

Data Pipeline Engineer

Kanak Elite Services Inc

Dallas, TX • On-site

$113K - $136K/yr

Contractor

Re-posted 17 days ago


Job description

Role: DATA PIPELINE ENGINEER

Location: Dallas, TX – Hybrid


MUST BE CURRENTLY WORKING AT A BANK

A leading global financial institution is seeking a highly skilled Data Pipeline Engineer to drive its unified cloud and data strategy within the Global Banking and Markets (GBM) division

As a contractor, you will be part of a high-performing team of professionals within a 12,000+ member global organization, delivering cutting-edge technology and governance solutions for clients and partners.

Responsibilities:

  • Unified cloud/data strategy: centralize into functional models (real-time, analytical, operational), modernize platforms, enable AI/ML.

Mandatory Requirements

  • 3–8 years of experience building and optimizing data pipelines within Financial Services or Big Tech environments
  • Hands-on expertise with AWS, Spark, Kafka, and ETL frameworks
  • Strong proficiency in data modeling and experience with lakehouse migration projects
  • Proven track record of consolidating fragmented data sources into centralized platforms
  • Advanced skills in SQL and Python

Nice to Have 

  • Experience with real-time data processing in regulated environments
  • Familiarity with AI/ML data enablement use cases

 

Thanks & Regards,

Technical Recruiter

Anjali Sonkar

Email : Anjali08@kanakits.com