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Data Engineering Lead

Remote: 
Full Remote
Contract: 
Full time
Salary: 
88 - 88K yearly
Experience: 
Senior (5-10 years)
Work from: 
United States

Offer summary

Qualifications:

Bachelor's degree in relevant field preferred, 5+ years experience as data engineer, Proficient in Python and SQL, Hands-on with Kubernetes and Jenkins, Leadership experience preferred.

Key responsabilities:

  • Lead design and implementation of GCP data pipelines
  • Manage containerized deployments with Helm and Kubernetes
  • Implement CI/CD pipelines using Jenkins
  • Design workflows for data integration and orchestration
  • Mentor junior developers and oversee team projects
Ascension logo
Ascension XLarge https://www.ascension.org/
10001 Employees
About Ascension
Ascension (www.ascension.org) is a faith-based healthcare organization dedicated to transformation through innovation across the continuum of care. As one of the leading non-profit and Catholic health systems in the U.S., Ascension is committed to delivering compassionate, personalized care to all, with special attention to persons living in poverty and those most vulnerable. In FY2018, Ascension provided nearly $2 billion in care of persons living in poverty and other community benefit programs. Ascension includes approximately 156,000 associates and 34,000 aligned providers. The national health system operates more than 2,600 sites of care – including 151 hospitals and more than 50 senior living facilities – in 21 states and the District of Columbia, while providing a variety of services including physician practice management, venture capital investing, investment management, biomedical engineering, facilities management, clinical care management, information services, risk management, and contracting through Ascension’s own group purchasing organization.
See more Ascension offers

Job description

Details

  • Department: Data Delivery and Governance
  • Schedule: Full Time Monday - Friday 8-5pm CT
  • Location: Remote

Benefits

Paid time off (PTO)

Various health insurance options & wellness plans

Retirement benefits including employer match plans

Long-term & short-term disability

Employee assistance programs (EAP)

Parental leave & adoption assistance

Tuition reimbursement

Ways to give back to your community

  • Please note, benefits and benefits eligibility can vary by position, exclusions may apply for some roles (for example: Travel, PRN, Short-Term Option, etc.). Actual compensation offer will vary based upon role, education, experience, location, and qualifications. Connect with your Talent Advisor for additional specifics.

Responsibilities

As a Data Engineering Lead, you will lead the design, development, and implementation of data engineering solutions to support/build a data hub on Google Cloud Platform (GCP). You will guide a team of developers and data engineers in building and maintaining scalable, high-performance data pipelines. You will collaborate with cross-functional teams to ensure the smooth integration of various data sources, employing best practices in data quality, automation, and cloud infrastructure. Your hands-on expertise will be vital in utilizing modern data engineering tools such as Helm, Jenkins, and Kubernetes, along with GCP technologies to optimize data pipelines and workflows.

GCP is preferred. Knowledge of other cloud platforms will be considered.

Key Responsibilities

  • Data Solutions: Lead the design and implementation of data pipelines using GCP services
  • Manage Deployments with Helm and Kubernetes: Oversee containerized deployments of data applications on Kubernetes Engine using Helm for package management, ensuring efficient orchestration of services.
  • Automation with Jenkins: Implement CI/CD pipelines using Jenkins to automate data pipeline deployment, testing, and integration with other services, ensuring quick iterations and deployments.
  • Develop and Optimize Pipelines: Write efficient Python and SQL scripts to build data pipelines and ETL/ELT processes. Continuously monitor and optimize data workflows for performance and cost-effectiveness.
  • Data Integration and Orchestration: Design workflows to integrate data from various sources using GCP services, and orchestrate complex tasks with Cloud Composer (Apache Airflow).
  • Security and Compliance: Ensure data security and compliance by implementing IAM policies, encryption, and other security measures in GCP, adhering to best practices for handling sensitive data.
  • Team Leadership and Mentorship: Guide and mentor junior developers and data engineers, helping them overcome technical challenges and ensuring high-quality code and solutions. Facilitate Agile processes like sprint planning, daily scrums, and backlog grooming.
  • Collaborate Across Teams: Work closely with application developers, data architects, and business stakeholders to define and deliver robust data-driven solutions. Provide technical leadership and ensure alignment between business and technical objectives.
  • Monitoring and Logging: Set up monitoring, logging, and alerting using Cloud Monitoring (formerly Stackdriver), Datadog, or other tools to ensure visibility into pipeline performance and quickly identify and resolve issues.

Skills

  • Google Cloud Platform (GCP) Tools:(Preferred)
    • BigQuery, Cloud Storage, Dataflow, Cloud Functions, Pub/Sub, Cloud Run, Cloud Composer (Airflow), Cloud Spanner, Bigtable or any equivalent tools in AWS or Azure.
  • Container Orchestration:
    • Kubernetes (preferred on GKE) and Helm for managing and deploying containerized applications.
  • CI/CD and Automation:
    • Jenkins for building CI/CD pipelines to automate deployment and testing of data pipelines.
  • Programming Languages:
    • Proficient in Python for data processing and automation, SQL for querying and data manipulation. Experience with Java is a plus.
  • DevOps Tools:
    • Familiarity with Terraform or Deployment Manager for Infrastructure as Code (IaC) to manage GCP resources.
  • Monitoring and Logging:
    • Experience with Cloud Monitoring, Datadog, or other monitoring solutions to track pipeline performance and ensure operational efficiency.
  • Data Engineering Skills:
    • Expertise in ETL/ELT pipelines, data modeling, and data integration across large datasets.
    • Strong understanding of data warehousing and real-time data processing workflows.
  • Collaboration and Leadership:
    • Strong communication skills to work effectively with cross-functional teams and mentor junior developers. Proven ability to lead in an Agile environment.
Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, Mathematics or other related major is preferred
  • 5+ years of experience as a data engineer, with hands-on experience in Kubernetes, Helm, Python and Jenkins.
  • Strong experience building and optimizing data pipelines in any cloud platform.
  • Proficiency in Python and SQL. Familiarity with Java and Docker is a plus.

Requirements

Education:

  • High School diploma equivalency with 2 years of cumulative experience OR Associate's degree/Bachelor's degree with 1 year of experience OR 5 years of applicable cumulative job specific experience required. 2 years of leadership or management experience preferred.

Additional Preferences

Why Join Our Team

When you join Ascension, you join a team of over 134,000 individuals across the country committed to a Mission of serving others and providing compassionate, personalized care to all. Our inclusive culture, continuing education programs, career coaches and benefit offerings are just a few of the resources and tools that team members can use to create a rewarding career path. In fact, Ascension spent nearly $46 million in tuition assistance alone to support associate growth and development. If you are looking for a career where you can grow and make a difference in your community, we invite you to join our team today.

Equal Employment Opportunity Employer

Ascension will provide equal employment opportunities (EEO) to all associates and applicants for employment regardless of race, color, religion, national origin, citizenship, gender, sexual orientation, gender identification or expression, age, disability, marital status, amnesty, genetic information, carrier status or any other legally protected status or status as a covered veteran in accordance with applicable federal, state and local laws.

For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.

As a military friendly organization, Ascension promotes career flexibility and offers many benefits to help support the well-being of our military families, spouses, veterans and reservists. Our associates are empowered to apply their military experience and unique perspective to their civilian career with Ascension.

Pay Non-Discrimination Notice

Please note that Ascension will make an offer of employment only to individuals who have applied for a position using our official application. Be on alert for possible fraudulent offers of employment. Ascension will not solicit money or banking information from applicants.

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This employer participates in the Electronic Employment Verification Program. Please click the E-Verify link below for more information.

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Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

JenkinsTerraformKubernetesPython (Programming Language)Continuous MonitoringAgile MethodologyData ModelingMicrosoft Deployment ToolkitGoogle Cloud Platform (GCP)DatadogCloud ManagementWell LoggingData IntegrationDocker (Software)SQL (Programming Language)Java (Programming Language)

Other Skills

  • Collaboration
  • Communication
  • Leadership
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