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Data Pipeline Jobs (NOW HIRING)

Kanak Elite Services Inc

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 ...

Snowrelic Inc

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 ...

Elevance Health

Secure Data Pipeline Data Engineer

Tampa, FL · Hybrid

$108K - $130K/yr

Secure Data Pipeline Data Engineer Locations: This role requires associates to be in-office 1-2 days per week, fostering collaboration and connectivity, while providing flexibility to support ...

Elevance Health

Secure Data Pipeline Data Engineer

Tampa, FL · Hybrid

$108K - $129K/yr

Secure Data Pipeline Data Engineer Secure Data Pipeline Data Engineer Locations: This role requires associates to be in-office 1-2 days per week, fostering collaboration and connectivity, while ...

Persona AI

Robotics Data Pipeline Intern

Pensacola, FL · On-site

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.

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How much do data pipeline jobs pay per year?

As of Jul 20, 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 engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in building large-scale data pipelines can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires strong technical certifications, leadership roles, and a track record of managing complex data infrastructure.

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.

What does a data pipeline do?

A data pipeline is a series of processes that automate the movement, transformation, and storage of data from source systems to destinations like data warehouses or analytics tools. Data pipeline roles often involve working with tools such as Apache Airflow, SQL, and cloud platforms to ensure data flows efficiently and accurately for analysis and reporting.

How to get hired on the pipeline?

To get hired as a data pipeline professional, candidates should have strong skills in data engineering, familiarity with tools like Apache Airflow, Spark, or Kafka, and experience with cloud platforms such as AWS or Azure. Relevant certifications and a solid understanding of data architecture can improve job prospects. Building a portfolio of projects and demonstrating problem-solving abilities are also beneficial.

Can I make 200K as a Data Engineer?

Data Engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.
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Data Pipeline jobs near you
Infographic showing various Data Pipeline job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $123,131 per year, or $59.2 per hour.

Data Pipeline Engineer

Kanak Elite Services Inc

Dallas, TX • On-site

$113K - $136K/yr

Contractor

Re-posted 13 hours 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