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Data Engineering Jobs (NOW HIRING)

Franciscan Health

Manager Data Engineering

Work From Home Work From Home Work From Home, Indiana 46544 The Manager of Data Engineering leads a team responsible for building and maintaining reliable, scalable data pipelines and models that ...

Family Dollar

Manager, Data Engineering

Chesapeake, VA · On-site

This role involves leading the Data Engineering team to enhance analytics capabilities and ensure efficient data utilization across the organization. Responsibilities : • Build, lead, and manage ...

Intap

Manager, Data Engineering

Charlotte, NC · On-site

The Manager, Data Engineering, is a technical leader within the DealCloud Services team, responsible for owning end-to-end delivery of client data migration engagements. This role combines hands-on ...

Spokeo

Data Engineering Manager

Pasadena, CA · Remote

As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that ...

E-Solutions

Data Engineering Pipeline

Columbus, OH · On-site

$107K - $128K/yr

Data Engineering Pipeline - 10+ Years experience (Databricks, AWS, PySpark) Head Count : Columbus OH 43240 Start Date : October 15, 2025 Skills: Data Engineering pipeline and refined processing for ...

CrossCountry Mortgage

Data Engineering Manager

Cleveland, OH · On-site

$111K - $133K/yr

The Data Engineering Manager's role is to provide technical leadership for data engineering services including data modeling, data warehouse/lake architecture and administration, ETL pipelines. This ...

Daikin

Data Engineering Manager

Waller, TX

The Manager, Data Engineering is responsible for overseeing the design, development, and maintenance of robust, scalable, and high-performance data systems that support business intelligence ...

Ci

Data Engineering Manager

Austin, TX · On-site

Data Engineering team leadership . Lead, mentor, and develop a team of data engineers supporting reporting, analytics, data science, AI, and data quality initiatives. Plan and manage delivery of data ...

Ignite IT

Data Engineering Lead

Suitland, MD

The Data Engineering Lead will ensure data integrity, performance, and visibility across a system-of-systems modernization initiative, while providing technical leadership for data modeling ...

Justworks

Manager, Data Engineering

New York, NY · On-site

The Data Platform Engineering team sits at the core of this foundation, owning the pipelines, platform infrastructure, and reliability that every other DNA function depends on. Who You Are You are an ...

Dollartree

Manager, Data Engineering

Chesapeake, VA · On-site

$112K - $126K/yr

We are seeking an experienced Data Engineering Manager with deep technical expertise and the ability to be handson. This leader will help transform how Family Dollar leverages internal & external ...

Dollar Tree

Manager, Data Engineering

Chesapeake, VA · On-site

$112K - $126K/yr

We are seeking an experienced Data Engineering Manager with deep technical expertise and the ability to be hands-on. This leader will help transform how Family Dollar leverages internal & external ...

Family Dollar

Manager, Data Engineering

Chesapeake, VA · On-site

$112K - $126K/yr

We are seeking an experienced Data Engineering Manager with deep technical expertise and the ability to be hands-on. This leader will help transform how Family Dollar leverages internal & external ...

YipitData

Data Engineering Manager

As a Data Engineering Manager , you will design and maintain large-scale data pipelines, define best practices for ETL, and integrate emerging technologies to keep our platform on the cutting edge.

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How much do data engineering jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data engineering in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

More about Data Engineering jobs
What cities are hiring for Data Engineering jobs? Cities with the most Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
What states have the most Data Engineering jobs? States with the most job openings for Data Engineering jobs include:
What job categories do people searching Data Engineering jobs look for? The top searched job categories for Data Engineering jobs are:
Data Engineering jobs near you
Infographic showing various Data Engineering 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 $165,018 per year, or $79.3 per hour.
Manager Data Engineering

Manager Data Engineering

Franciscan Health

Remote

Full-time

Posted 14 days ago

Franciscan Health rating

6.8

Company rating: 6.8 out of 10

Based on 265 frontline employees who took The Breakroom Quiz

483rd of 877 rated healthcare providers

Job description

Work From Home
Work From Home Work From Home, Indiana 46544
The Manager of Data Engineering leads a team responsible for building and maintaining reliable, scalable data pipelines and models that support enterprise reporting, analytics, and data science. This role is critical in delivering data across a hybrid architecture, with a strong emphasis on our modern cloud data lakehouse platform that follows structured frameworks such as the medallion architecture (bronze, silver, gold layers).
WHO WE ARE
With 11 ministries and access points across Indiana, Franciscan Health is one of the largest Catholic health care systems in the Midwest. Franciscan Health takes pride in hiring coworkers that provide compassionate, comprehensive care for our patients and the communities we serve.
WHAT YOU CAN EXPECT
  • Lead, mentor, and develop a high-performing data engineering team, fostering a culture of technical excellence, accountability, and continuous improvement in data pipeline development and delivery.
  • Design, implement, and maintain scalable, efficient ETL/ELT pipelines across cloud and legacy systems.
  • Develop robust data models leveraging best practices such as the medallion architecture (Bronze, Silver, Gold layers) to organize raw, refined, and curated data for trusted analytics.
  • Ensure data workflows and structures are optimized to support analytical, operational, and self-service use cases with high performance, reliability, and maintainability.
  • Deliver and support seamless data integration in and out of enterprise data platforms ensuring timely, accurate, and secure data availability for reporting, analytics and other data needs.
  • Drive adoption of best practices in data engineering design and coding standards to ensure scalable, maintainable, and reusable solutions aligned with architectural principles.

QUALIFICATIONS
  • Bachelor's Degree Computer Science, Information Systems or related field - Required
  • Master's Degree Computer Science, Information Systems or related field - Preferred
  • 4 years Relevant work experience managing/leading system implementations and/or data engineering teams or cross functional teams - Required
  • 3 years Hands-on development experience with Moden Cloud Data Platforms (Azure, AWS, Google, etc.) - Required
  • 7 years Hands-on data engineering experience with ELT/ETL, Pipelines, Modeling, Warehousing, etc. - Required
  • 3 years Advanced experience with SQL & Python - Required
  • 3 years Experience modeling data for BI Platforms (Power BI, Tableau, BOE) with medallion architecture - Preferred
  • 3 years Experience with Epic Cogito data platforms & reporting tool - Preferred
  • 3 years Experience with DevOps, CI/CD & Agile delivery - Preferred
  • 3 years Experience with DevOps, CI/CD & Agine delivery - Preferred

TRAVEL IS REQUIRED:
Never or Rarely
JOB RANGE:
Manager Data Management $117,340.82 - $161,343.63
INCENTIVE:
Not Applicable
EQUAL OPPORTUNITY EMPLOYER
It is the policy of Franciscan Alliance to provide equal employment to its employees and qualified applicants for employment as otherwise required by an applicable local, state or Federal law.
Franciscan Alliance reserves a Right of Conscience objection in the event local, state or Federal ordinances that violate its values and the free exercise of its religious rights.
Franciscan Alliance is committed to equal employment opportunity.
Franciscan provides eligible employees with comprehensive benefit offerings. Find an overview on the benefit section of our career site, jobs.franciscanhealth.org.

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