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Data Pipeline Jobs (NOW HIRING)

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Knowledge of Big Data pipelines, Data Engineering * Working Knowledge of the MSBI stack on Azure * Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage * Hands-on in ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/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 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 Engineer

NJ · On-site

$116K - $140K/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 Engineer

Jackson, NJ · On-site

$116K - $140K/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 Engineer III

Cincinnati, OH

$109K - $132K/yr

This role focuses heavily on ETL/ELT pipeline optimization, distributed data architectures, Python-based automation, platform governance, and operational scalability while serving as a technical ...

Data Engineer, TS/SCI

Reston, VA · On-site

$119K - $143K/yr

S eeking a Lead Data Engineer / Mission Data Pipeline to serve as a Subject Matter Expert (SME). You will work directly with government, technical, and industry stakeholders design, implement, and ...

Data Engineer, TS/SCI

Reston, VA

$119K - $143K/yr

S eeking a Lead Data Engineer / Mission Data Pipeline to serve as a Subject Matter Expert (SME). You will work directly with government, technical, and industry stakeholders design, implement, and ...

Data Engineer, TS/SCI

Reston, VA · On-site

$119K - $143K/yr

S eeking a Lead Data Engineer / Mission Data Pipeline to serve as a Subject Matter Expert (SME).You will work directly with government, technical, and industry stakeholders design, implement, and ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Data Pipeline Development & Management: * Design, develop, and maintain scalable, reliable, and efficient ETL/ELT pipelines for batch and real-time data processing (e.g., MQTT/Kafka data ingestion)

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Overview: • AWS, Glue, PySpark, Redshift/S3, Data Modelling, Git • Strong experience in ETL/data pipeline development and data integration from FLEX, Agiloft, CARS systems. • Proficient in SQL ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

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Data Pipeline information

See salary details

$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 Engineer

Data Engineer

Staffingine LLC

Bellevue, WA • On-site

$129K - $155K/yr

Contractor

Posted 29 days ago


Job description

Job Title: Data Engineer
Location: Bellevue, WA
Job Type: Onsite/Remote: Hybrid

Job Description:

  • Experience in Synapse with PySpark
  • Knowledge of Big Data pipelines, Data Engineering
  • Working Knowledge of the MSBI stack on Azure
  • Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage
  • Hands-on in Visualisation like Power BI
  • Implement end-to-end data pipelines using Cosmos Azure Data Factory
  • Should have good analytical thinking and problem-solving skills
  • Good communication and coordination skills
  • Able to work as an Individual contributor
  • Requirement Analysis
  • Create, Maintain, and Enhance Big Data Pipeline
  • Daily status reporting, interacting with Leads
  • Version control ADOGIT CICD
  • Marketing Campaign experiences
  • Data Platform Product telemetry Analytical thinking
  • Data Validation of the new streams
  • Data quality check of the new streams
  • Monitoring of the data pipeline created in Azure Data Factory
  • Updating the Tech spec and wiki page for each implementation of the pipeline
  • Updating ADO on a daily basis

Mandatory Skills: Java, Python, Scala, Snowflake, Azure Blob, Azure Data Factory, Azure Functions, Azure SQL. Azure Synapse Analytics, Azure Data Lake, ANSI-SQL, Databricks, HDInsight


Good to Have Skills: Python, Azure BLOB, Azure Data Factory, AZURE DATA LAKE