Data Engineer, Senior

Milwaukee Succeeds; Oakland (CA); On-site; USD 140,000 - 170,000; Full time

Job summary

Milwaukee Succeeds is seeking a Senior Data Engineer to design, build, and operate complex data pipelines and cloud data solutions across enterprise data products. You will drive production readiness, automate processes, and ensure security and reliability throughout the SDLC.

The role requires 5+ years in data engineering, strong SQL skills, and hands-on experience with Azure, ADLS, Synapse, Data Factory, and modern data tools like dbt, Snowflake, Databricks, Airflow, or Tidal.

Qualifications

• Requires a bachelor's degree or equivalent experience.
• Requires a minimum of 5 years of relevant data engineering experience.
• Strong hands-on experience with SQL, including scripting and automation
• Expertise with cloud platforms (Azure preferred) and services such as ADLS, Synapse, and Data Factory
• Hands-on experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or Tidal
• Solid knowledge of data modeling (Data Vault 2.0), data integration, data architecture, warehousing, and data quality
• Experience implementing CI/CD pipelines (e.g., Bitbucket, GitHub)
• Strong understanding of agile delivery methodologies and enterprise cloud integration
• Excellent communication skills with the ability to translate technical solutions to nontechnical stakeholders
• Experience in healthcare or regulated environments, including Epic ecosystem exposure in preferred.
• Awareness of data governance, security standards, and production certification processes

Responsibilities

• Design, build, and operate complex data pipelines and cloud data solutions.
• Ensure production readiness and operational excellence across data products.
• Embed security, automation, and reliability throughout the SDLC.
• Lead data engineering practices and contribute to continuous improvements.

Skills

SQL

Automation

Scripting

Azure

Data modeling

Data integration

Data warehousing

CI/CD

Agile

Communication

Epic exposure

Education

Bachelor's degree or equivalent experience

Tools

dbt

Snowflake

Databricks

Airflow

Tidal

Job description

Oakland , CA / Seattle , WA / Providence , RI ... View All

The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data Engineer,Senior will report to the Sr Manager, Data Solutions / Manager. This role is responsible for independent designing, building, and operating complex data pipelines and cloud data solutions while embedding security, automation, and reliability throughout the software development lifecycle (SDLC). The Senior Data Engineer plays a critical role in ensuring production readiness, operational excellence, and adherence to engineering standards across data products.

This role is a handson technical leader who thrives in a collaborative environment, contributes to engineering best practices, and actively supports continuous improvement across people, process, and technology.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Your Knowledge and Experience

Requires a bachelor's degree or equivalent experience.

Requires a minimum of 5 years of relevant data engineering experience.

Strong handson experience with SQL, including scripting and automation

Expertise with cloud platforms (Azure preferred) and services such as ADLS, Synapse, and Data Factory

Handson experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or Tidal

Solid knowledge of data modeling (Data Vault 2.0), data integration, data architecture, warehousing, and data quality

Experience implementing CI/CD pipelines (e.g., Bitbucket, GitHub)

Strong understanding of agile delivery methodologies and enterprise cloud integration

Excellent communication skills with the ability to translate technical solutions to nontechnical stakeholders

Experience in healthcare or regulated environments, including Epic ecosystem exposure in preferred.

Awareness of data governance, security standards, and production certification processes

#LI-FB1

Your Role

The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data Engineer,Senior will report to the Sr Manager, Data Solutions / Manager. This role is responsible for independent designing, building, and operating complex data pipelines and cloud data solutions while embedding security, automation, and reliability throughout the software development lifecycle (SDLC). The Senior Data Engineer plays a critical role in ensuring production readiness, operational excellence, and adherence to engineering standards across data products.

This role is a handson technical leader who thrives in a collaborative environment, contributes to engineering best practices, and actively supports continuous improvement across people, process, and technology.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Your Knowledge and Experience

• Requires a bachelor's degree or equivalent experience.
• Requires a minimum of 5 years of relevant data engineering experience.
• Strong handson experience with SQL, including scripting and automation
• Expertise with cloud platforms (Azure preferred) and services such as ADLS, Synapse, and Data Factory
• Handson experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or Tidal
• Solid knowledge of data modeling (Data Vault 2.0), data integration, data architecture, warehousing, and data quality
• Experience implementing CI/CD pipelines (e.g., Bitbucket, GitHub)
• Strong understanding of agile delivery methodologies and enterprise cloud integration
• Excellent communication skills with the ability to translate technical solutions to nontechnical stakeholders
• Experience in healthcare or regulated environments, including Epic ecosystem exposure in preferred.
• Awareness of data governance, security standards, and production certification processes

#LI-FB1

External hires must pass a background check/drug screen. Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status or disability status and any other classification protected by Federal, State and local laws.