Lead Analytical Data Engineer

ADP; Chicago (IL); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a Lead Analytical Data Engineer to join its innovative HR Outsourcing Data and Analytics organization. In this pivotal role, you will lead the analytics engineering team, driving data solutions that enhance reporting accuracy and enable advanced analytics. If you are a self-motivated, analytical professional with a passion for data and a knack for leadership, this opportunity is perfect for you. Join a collaborative environment that values continuous improvement and empowers you to tackle complex business challenges while making a significant impact on the organization.

Benefits

Health Insurance

Retirement Plan

Paid Time Off

Professional Development

Flexible Work Hours

Remote Work Options

Community Engagement Programs

Wellness Programs

Qualifications

• 8+ years in data analytics and engineering with project management experience.
• Deep experience with ETL, data modeling, and data architecture.

Responsibilities

• Develop strategic data solutions and document analytics processes.
• Collaborate with stakeholders to create roadmaps in an agile environment.

Skills

Data Analytics

ETL

Data Modeling

Data Architecture

Project Management

Problem Solving

Communication

Education

Bachelor’s degree in Computer Science

Advanced degrees preferred

Tools

DataBricks

Spark

Python

SQL

Git

Jenkins

Jira

Confluence

Job description

**ADP** is hiring a **Lead Analytical Data Engineer** for our newly formed HR Outsourcing (HRO) Data and Analytics organization. The **Lead Analytical Data Engineer** will play a key role in growing our analytics engineering team and collaborating with cross-functional groups to address complex business needs. We seek a self-motivated, analytical professional who can act as both a player and a coach across multiple workstreams. The role requires strong technical skills, a passion for data & analytics, and leadership capabilities.

**What are we looking for?**

An experienced data engineering and analytics professional with a proven ability to design and deliver analytics solutions that enhance reporting accuracy and enable advanced analytics in an agile environment. The ideal candidate is curious, business-minded, customer-centric, team-oriented, strategic, and results-driven.

Interested? **Apply now!**

**Learn more about ADP at** tech.adp.com/careers

**Learn more about Client Services at ADP:** https://adp.careers/Client_Services_Videos

**About ADP:** We are a global leader in HR technology, offering AI-enhanced payroll, tax, HR, benefits, and more. We foster an inclusive culture that values innovation and belonging. Recognized as a top employer for diversity and inclusion, learn more on our YouTube channel: http://adp.careers/DEI_Videos

**WHAT YOU'LL DO:**

**Behaviors:**

1. Support data workstream enhancement. Contribute to team growth and share knowledge effectively.
2. Customer-focused. Align data strategies with business goals, facilitating data access for analytics and data science.
3. Effective communicator. Clearly convey plans and priorities to team and leadership.
4. Deliver results. Proactively address issues, ensuring high-quality, polished outputs.
5. Engage with leadership and teams daily. Participate in leadership meetings and support team obstacles.
6. Continuous improvement. Document processes and implement best practices for efficiency.
7. Problem solving. Tackle challenges effectively as they arise.

**Responsibilities:**

1. Develop strategic data solutions for high-return projects.
2. Document analytics and automation processes, recommending improvements.
3. Collaborate with stakeholders to create roadmaps and execute projects in an agile environment.
4. Lead the development of data tables and ensure structured, quality data ingestion.
5. Partner with data governance teams to streamline integration and ensure security.
6. Research and recommend new technologies for scaling and growth.
7. Prioritize and deliver on business needs and ad hoc requests.
8. Ensure quality assurance and data integrity.
9. Iterate solutions based on feedback, moving from v0.5 to v1.0+.
10. Leverage a strong track record of delivery and change management.

**Qualifications:**

• Bachelor’s degree in computer science, engineering, business, statistics, or related; advanced degrees preferred.
• 8+ years of experience in data analytics, engineering, and project management.
• 3+ years working in a matrix organization leading teams toward use case goals.
• Deep experience with ETL, Data Modeling, Data Architecture.
• Background in PEO, Service, Risk analytics, or similar fields is a plus.
• Proven ability to lead data projects addressing complex business challenges.
• Hands-on experience with data warehouses/lakes, big data tech (Hadoop, Spark, DataBricks).
• Expertise in building and maintaining data pipelines with tools like Git, Jenkins.
• Strong data analytics skills, including data mining and modeling.

**Preferred Skills:**

• Proficiency with DataBricks, Spark, PySpark, Python, SQL.
• AWS certifications and experience are highly desirable.
• Experience developing frameworks, monitoring, and managing production pipelines.
• Knowledge of various data storage solutions: RDBMS, Hive, HBase, NoSQL.
• Familiarity with project management tools like Jira, Confluence.
• Experience as a data solutions architect is a plus.
• Cloud database experience, especially in AWS.
• Understanding of MLOps, containerization (Docker, Kubernetes).

**Why you'll love working here:**

• Collaborate courageously and challenge ideas for the best solutions.
• Deliver impactful results at scale.
• Learn continuously and grow with smart, curious colleagues.
• Act as an owner and doer, leading change and solving complex problems.
• Give back through community and philanthropic efforts.
• Join a company committed to equality and equity.

Ready to join? **Apply today!**

Watch why people love ADP: https://youtu.be/ODb8lxBrxrY

(ADA version: https://youtu.be/IQjUCA8SOoA)