Analytics Engineer Jobs in Pennsylvania
Analytics Engineer jobs in Pennsylvania are in strong and growing demand, concentrated in financial services, healthcare IT, and enterprise technology, with openings at every level from entry-level data roles through senior and staff engineers. Philadelphia and Pittsburgh anchor most of the hiring, with a meaningful cluster of roles in the Harrisburg and King of Prussia corridor, and established employers such as Comcast, Independence Blue Cross, and PNC Financial Services consistently bring on analytics engineers to support data platform and reporting work. The most in-demand specialties are dbt modeling, Snowflake or Databricks stack development, and healthcare data pipeline engineering. Find a role that fits below and apply directly.
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Mission Summary:
Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn't just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.
We are seeking a Principal Engineer to own and elevate the autonomous vehicle performance executive reporting for our organization. As a critical leader within the team, you will be the definitive voice translating complex robotics data, autonomy insights, and system performance metrics into compelling, strategic narratives for Motional's highest-level stakeholders.
While you will take immediate ownership of our critical weekly Software Performance Review (SPR) presented to leadership (including the CEO), your mandate extends far more broadly. You will architect the broader executive reporting ecosystem, commercial readiness reviews, and long-term autonomy trend analyses. Furthermore, you will serve as a force multiplier, mentoring junior engineers to elevate the data visualization and storytelling culture across the entire team. This role requires a unique hybrid professional: someone who deeply understands robotics and the autonomous vehicle (AV) problem space, but can synthesize that complexity into high-level strategy.
What You'll Be Doing
- Strategic Data Synthesis: Analyze complex autonomous vehicle data pipelines encompassing heuristic extraction, diagnostic evaluations, and ETL-driven AV performance data analysis and visualization to extract the core "story" the data is telling.
- Executive Reporting Ownership: Establish the analytical "rhythm of business" by leading the weekly Software Performance Review (SPR) and owning all leadership AV performance reporting, continuously calibrating metrics to align with executive goals and directly answer the strategic questions needed to drive the business forward.
- Cross-Functional Alignment: Partner seamlessly with internal team leads across Heuristic Extractors, Reasoning Engine & Infrastructure, Diagnosis & Reporting, and Data & Metrics Analysis to unify disparate data streams into a single, cohesive release narrative.
- Mentorship & Team Elevation: Serve as the strategic anchor for the team, mentoring junior engineers. Establish best practices in data visualization, chart design, and executive communication.
- Reporting Automation & AI Tooling: Architect and deploy automated, zero-touch reporting pipelines utilizing modern AI workflows (e.g., Cursor IDE) and integration frameworks like Model Context Protocol (MCP). Directly connect AV performance databases to programmatic presentation tools (e.g., Google Slides API) to auto-generate weekly reporting decks and eliminate manual reporting overhead.
What We're Looking For
- 8+ years of experience bridging business intelligence, data science, and strategic reporting within a highly complex technical field (Autonomous Vehicles, Robotics, Aerospace).
- Master's degree in Business Analytics, Data Intelligence, Robotics, or an MBA combined with a remarkably strong technical foundation in engineering problem spaces.
- Executive Presence: You possess superb communication skills and can command a room. You are experienced in leading executive presentations and high-visibility reviews with polish and professionalism.
- Analytical & Influential: You can use data to build a compelling Point of View (POV) that influences internal stakeholders and drives actionable engineering decisions.
- Strategic & Operational Balance: You can synthesize the long-term system maturity vision while also diving deep into the details of specific software release anomalies.
- Strong foundational understanding of robotics systems, data architectures, and the unique problem space of autonomous vehicle performance, perception, and prediction validation.
- The Art of Data Visualization: Treat data visualization as a strategic art form. Exercise expert judgment in knowing exactly what type of chart, graph, or visual framework to use, where to place it, and how to design it to instantly translate dense engineering outputs into clear, executive-level insights.
- AI-Assisted Development: Familiarity with modern AI agent workflows and IDEs (e.g., Cursor, GitHub Copilot) and an understanding of how to leverage API protocols (such as MCP) to connect disparate SaaS tools and databases securely.
Bonus Points (not required)
- Prior experience as a strategic management consultant specializing in deep-tech, AI, robotics, or automotive sectors.
- Direct experience reporting on software readiness, simulation performance (e.g., Software/Hardware-in-the-Loop), and safety metrics for autonomous systems.
- Proven track record of replacing entirely manual presentation-building processes with scalable, code-driven slide generation scripts.
Success Metrics
- Successful overhaul and seamless weekly delivery of the Software Performance Review (SPR), resulting in immediate clarity and strategic alignment for the CEO.
- Establishment of a unified data storytelling framework that elevates the entire System Performance Organization's reporting quality and visualization standards.
- Demonstrated growth and elevated output from mentored junior BABI engineers.
Working Environment
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particles. The noise level in the environment is low to moderate.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
See All 12 Analytics Engineer Jobs in Pennsylvania
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Where Pennsylvania roles are concentrated, by current openings.
Analytics Engineer Job Market in Pennsylvania
A snapshot from current Pennsylvania openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Automotive
- Technology & Software
- Banking & Financial Services
What Pennsylvania Employers Look For
The qualifications that appear most often in analytics engineer jobs across Pennsylvania.
- Bachelor's degree in computer science, statistics, information systems, or a related field
- Proficiency in SQL and at least one analytics engineering tool such as dbt
- Experience building and maintaining data pipelines on cloud platforms like Snowflake or Databricks
- Ability to translate business requirements into clean, documented data models
- Familiarity with version control workflows using Git in a collaborative team environment
- Strong communication skills to partner with data analysts and business stakeholders directly
Analytics Engineer Jobs in Pennsylvania: Frequently Asked Questions
How do you become a analytics engineer in Pennsylvania?
Analytics engineering in Pennsylvania has no state-issued license, so the path runs through education and demonstrated technical skill. Most employers expect a bachelor's degree in computer science, information systems, statistics, or a related field. From there, building hands-on experience with SQL, dbt, and a cloud data warehouse matters more than credentials alone. Pennsylvania's large healthcare systems and financial firms frequently hire candidates who can show portfolio work or prior data team experience, even from adjacent analyst or data technician roles.
How much do analytics engineers make in Pennsylvania?
Analytics engineers in Pennsylvania earn a median of about $106,850 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $63,340 for the lowest 10% to over $162,290 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire analytics engineers in Pennsylvania?
Employers hiring analytics engineers in Pennsylvania right now include Amphenol, Deloitte, and Motional, based on current listings on Migrate Mate as of November 2026. Pennsylvania's dense concentration of health insurers, regional banks, and large media and telecom firms makes it one of the more active mid-Atlantic states for this role.
Which Pennsylvania cities have the most analytics engineer jobs?
Pittsburgh, Harrisburg, and Philadelphia account for the largest share of analytics engineer openings in Pennsylvania. Philadelphia leads because of its concentration of health systems, financial services firms, and technology employers, while Pittsburgh's growing tech sector and Carnegie Mellon University ecosystem drive strong demand there, and suburban corridors like King of Prussia and Malvern add openings tied to major corporate campuses in the area.
Are there remote analytics engineer jobs in Pennsylvania?
Yes, and more than most fields. About 57% of analytics engineer openings tied to Pennsylvania are remote or hybrid as of November 2026, reflecting the desk-based and cloud-native nature of the work. The tasks most likely to stay fully remote are data modeling, pipeline development, and documentation, while stakeholder-facing or embedded team roles tend to require at least occasional in-office time.
How can I get hired as a analytics engineer in Pennsylvania with little or no experience?
The most realistic entry path is moving from a data analyst or business intelligence role into analytics engineering as you build SQL and dbt skills. Pennsylvania's large health systems such as UPMC and Jefferson Health, and financial institutions like PNC and Vanguard, hire junior data professionals and provide structured onboarding that can lead into engineering work. Building a public portfolio with documented dbt projects or data transformation work, and earning a cloud data platform certification, strengthens applications significantly when formal experience is limited.
Where can I find and apply to analytics engineer jobs in Pennsylvania?
You can find and apply to analytics engineer jobs in Pennsylvania on Migrate Mate, which lists current Pennsylvania openings. Search the available roles, find the ones that fit your background and location, and apply directly through the listing.
See All 12 Analytics Engineer Jobs in Pennsylvania
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