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Data Pipeline Jobs (NOW HIRING)

Data Pipeline Engineer

Dallas, TX ยท 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 ยท 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 ...

OR ยท On-site

Oversee implementation of end-to-end data pipelines, including ingestion, validation, transformation, and delivery into downstream platforms (e.g., Palantir, Databricks). * Establish and govern data ...

Description Data Pipeline engineers ensure that our customers work with updated and accurate data in Foundry. You are the first to respond to data health failures on key pipelines. You are technical ...

Robotics Data Pipeline Intern - Multimodal Data About Us At Persona, we're building the next generation of humanoid robots, and that requires an unprecedented volume of high-quality, multimodal data.

Description Data Pipeline engineers ensure that our customers work with updated and accurate data in Foundry. You are the first to respond to data health failures on key pipelines. You are technical ...

The intern will help build data pipelines and LLM-assisted data cleaning workflows that allow the agent to correctly retrieve, interpret, and reason over experiment-related information. Depending on ...

QA Lead - Data & Pipeline Quality Employment Type: Full-Time Location: Austin, TX About Incedo Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New ...

The intern will help build data pipelines and LLM-assisted data cleaning workflows that allow the agent to correctly retrieve, interpret, and reason over experiment-related information. Depending on ...

Senior Data Pipeline & AI Engineer

Atlanta, GA ยท On-site

$160K - $170K/yr

Develop and maintain dbt models and pipeline orchestration to ensure timely, fault-tolerant data migrations across hundreds of customer destinations. * Define evaluation frameworks for LLM outputs ...

New

QA Lead -- Data & Pipeline Quality Employment Type: Full-Time Location: Austin, TX About Incedo Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New ...

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Data Pipeline information

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$24K

$123.1K

$200K

How much do data pipeline jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data pipeline in the United States is $123,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $155,500.00 per year, depending on experience, location, and employer.

What are some 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.

What are the key skills and qualifications needed to thrive in the Data Pipeline position, and why are they important?

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 does a Data Pipeline job involve?

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.

More about Data Pipeline jobs
What cities are hiring for Data Pipeline jobs? Cities with the most Data Pipeline job openings:
What are the most commonly searched types of Data Pipeline jobs? The most popular types of Data Pipeline jobs are:
What states have the most Data Pipeline jobs? States with the most job openings for Data Pipeline jobs include:

Data Pipeline Engineer

Kanak Elite Services Inc

Dallas, TX โ€ข On-site

$113K - $136K/yr

Contractor

Posted 17 days ago


Job description

Role: DATA PIPELINE ENGINEER

Location:ย Dallas, TX โ€“ Hybrid


MUST BE CURRENTLY WORKING AT A BANK

A leading global financial institution is seeking a highly skilledย Data Pipeline Engineerย 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

  • 3โ€“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 Haveย 

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

ย 

Thanks & Regards,

Technical Recruiter

Anjali Sonkar

Email :ย Anjali08@kanakits.com