Data Analytics Engineer Jobs in Pennsylvania
Data Analytics Engineer jobs in Pennsylvania are in strong demand, concentrated in financial services, healthcare systems, and technology consulting, with openings at every level from entry-level analyst to senior engineer. Philadelphia and Pittsburgh anchor most of the hiring, with a notable cluster in the Harrisburg and King of Prussia corridor, and established employers such as Comcast, UPMC, and Vanguard maintain consistent data engineering teams across the state. The most sought-after specialties are cloud data pipeline development, business intelligence infrastructure, and healthcare data integration. Find a role that fits below and apply directly.
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About the Position
We are seeking a highly motivated and collaborative Sr. Data Scientist, Technical Development Data Analytics to join our Technical Development organization within a growing biotechnology/pharmaceutical company. This individual will help build and advance data science and data-driven capabilities across CMC, by applying scientific, statistical, and computational approaches to solve complex development and manufacturing challenges. The successful candidate will work at the intersection of CMC science and data analytics, partnering with Process Development, Analytical Development, Manufacturing, Quality, Supply Chain, and other cross-functional teams to integrate and analyze data, identify trends and relationships, and translate complex datasets into actionable scientific insights. We are looking for a data scientist with a strong scientific foundation and a demonstrated passion for working with data. We value scientific curiosity, learning agility, initiative, integrity, organization, communication, and motivation to develop new quantitative and computational capabilities. This role is well-suited for an individual who enjoys solving open-ended problems, is comfortable operating with ambiguity, and is excited about helping build new capabilities within Technical Development.
Responsibilities Include
- Partner with CMC subject matter experts to identify scientific and technical questions that can be addressed through data science, data integration, visualization, statistical analysis, and modeling.
- Integrate and analyze data across process development, analytical development, manufacturing, raw materials, and product quality to improve process and product understanding.
- Develop intuitive visualizations, dashboards, and analytical workflows that enable scientists and technical leaders to efficiently explore data, identify trends, and make informed decisions.
- Help establish scalable and reproducible approaches for organizing, integrating, analyzing, and visualizing CMC data from multiple internal and external sources.
- Apply and continue to develop capabilities in statistical and computational tools such as JMP, Python, R, SQL, Spotfire, Power BI, or similar platforms.
- Explore opportunities to apply advanced analytics, automation, machine learning, and emerging AI-enabled approaches to relevant CMC scientific and operational challenges.
- Independently lead data-focused projects from problem definition and data assessment through analysis, interpretation, visualization, and communication of conclusions.
- Work effectively with complex and imperfect datasets and bring structure to scientific questions where the analytical approach or solution may not initially be well defined.
- Clearly communicate analytical approaches, assumptions, limitations, and conclusions to technical and non-technical stakeholders.
- Develop reusable analytical workflows, tools, and best practices that improve efficiency, consistency, and data accessibility across Technical Development.
- Demonstrate scientific integrity, actively seek and incorporate feedback, and collaborate effectively across functions in an environment of scientific curiosity, continuous learning, accountability, and open communication.
- Other related duties, as assigned.
Required Qualifications
- Ph.D. or M.S. in Data Science, Statistics, Computer Science, Bioinformatics, or another relevant scientific, engineering, computational, or quantitative discipline.
- 2+ years of relevant industry experience (with a Ph.D.) or 5+ years (with an M.S.) is preferred, though candidates with equivalent demonstrated experience are encouraged to apply.
- Demonstrated experience using data to address complex scientific or technical problems.
- Strong scientific and quantitative problem-solving skills, with the ability to translate complex or ambiguous questions into structured analytical approaches.
- Experience with statistical analysis, experimental design, data visualization, and/or analysis of complex scientific datasets.
- Experience with Design of Experiments (DoE), continued process verification (CPV), or statistical process control (SPC) is a plus.
- Experience with, or demonstrated ability and motivation to learn, analytical and computational tools such as JMP, Python, R, SQL, Spotfire, Power BI, Tableau, or equivalent platforms.
- Highly organized, with demonstrated ability to independently manage multiple analyses, datasets, priorities, and projects.
- Strong interpersonal, written, and verbal communication skills, with demonstrated ability to collaborate effectively across scientific and functional disciplines.
- Demonstrated initiative, ownership, and motivation to build new capabilities and solve problems beyond established approaches.
- Experience within biotechnology, pharmaceutical development, biologics, cell and gene therapy, GxP/regulated manufacturing environments, or other advanced therapeutic modalities is preferred.
How to Apply
Please click the link at the bottom of the posting to submit an application.
Benefits
Our most important asset is our people and we offer competitive benefits including health and retirement, PTO, and stock option plans.
Equal Opportunity Employer
Cabaletta Bio is an equal opportunity employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, age, religion, national or ethnic origin, disability, protected veteran status or any other basis protected by applicable law.
About the Position
We are seeking a highly motivated and collaborative Sr. Data Scientist, Technical Development Data Analytics to join our Technical Development organization within a growing biotechnology/pharmaceutical company. This individual will help build and advance data science and data-driven capabilities across CMC, by applying scientific, statistical, and computational approaches to solve complex development and manufacturing challenges. The successful candidate will work at the intersection of CMC science and data analytics, partnering with Process Development, Analytical Development, Manufacturing, Quality, Supply Chain, and other cross-functional teams to integrate and analyze data, identify trends and relationships, and translate complex datasets into actionable scientific insights. We are looking for a data scientist with a strong scientific foundation and a demonstrated passion for working with data. We value scientific curiosity, learning agility, initiative, integrity, organization, communication, and motivation to develop new quantitative and computational capabilities. This role is well-suited for an individual who enjoys solving open-ended problems, is comfortable operating with ambiguity, and is excited about helping build new capabilities within Technical Development.
Responsibilities Include
- Partner with CMC subject matter experts to identify scientific and technical questions that can be addressed through data science, data integration, visualization, statistical analysis, and modeling.
- Integrate and analyze data across process development, analytical development, manufacturing, raw materials, and product quality to improve process and product understanding.
- Develop intuitive visualizations, dashboards, and analytical workflows that enable scientists and technical leaders to efficiently explore data, identify trends, and make informed decisions.
- Help establish scalable and reproducible approaches for organizing, integrating, analyzing, and visualizing CMC data from multiple internal and external sources.
- Apply and continue to develop capabilities in statistical and computational tools such as JMP, Python, R, SQL, Spotfire, Power BI, or similar platforms.
- Explore opportunities to apply advanced analytics, automation, machine learning, and emerging AI-enabled approaches to relevant CMC scientific and operational challenges.
- Independently lead data-focused projects from problem definition and data assessment through analysis, interpretation, visualization, and communication of conclusions.
- Work effectively with complex and imperfect datasets and bring structure to scientific questions where the analytical approach or solution may not initially be well defined.
- Clearly communicate analytical approaches, assumptions, limitations, and conclusions to technical and non-technical stakeholders.
- Develop reusable analytical workflows, tools, and best practices that improve efficiency, consistency, and data accessibility across Technical Development.
- Demonstrate scientific integrity, actively seek and incorporate feedback, and collaborate effectively across functions in an environment of scientific curiosity, continuous learning, accountability, and open communication.
- Other related duties, as assigned.
Required Qualifications
- Ph.D. or M.S. in Data Science, Statistics, Computer Science, Bioinformatics, or another relevant scientific, engineering, computational, or quantitative discipline.
- 2+ years of relevant industry experience (with a Ph.D.) or 5+ years (with an M.S.) is preferred, though candidates with equivalent demonstrated experience are encouraged to apply.
- Demonstrated experience using data to address complex scientific or technical problems.
- Strong scientific and quantitative problem-solving skills, with the ability to translate complex or ambiguous questions into structured analytical approaches.
- Experience with statistical analysis, experimental design, data visualization, and/or analysis of complex scientific datasets.
- Experience with Design of Experiments (DoE), continued process verification (CPV), or statistical process control (SPC) is a plus.
- Experience with, or demonstrated ability and motivation to learn, analytical and computational tools such as JMP, Python, R, SQL, Spotfire, Power BI, Tableau, or equivalent platforms.
- Highly organized, with demonstrated ability to independently manage multiple analyses, datasets, priorities, and projects.
- Strong interpersonal, written, and verbal communication skills, with demonstrated ability to collaborate effectively across scientific and functional disciplines.
- Demonstrated initiative, ownership, and motivation to build new capabilities and solve problems beyond established approaches.
- Experience within biotechnology, pharmaceutical development, biologics, cell and gene therapy, GxP/regulated manufacturing environments, or other advanced therapeutic modalities is preferred.
How to Apply
Please click the link at the bottom of the posting to submit an application.
Benefits
Our most important asset is our people and we offer competitive benefits including health and retirement, PTO, and stock option plans.
Equal Opportunity Employer
Cabaletta Bio is an equal opportunity employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, age, religion, national or ethnic origin, disability, protected veteran status or any other basis protected by applicable law.
See All 46 Data Analytics Engineer Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find Data Analytics Engineer JobsData Analytics Engineer Jobs by City in Pennsylvania
Where Pennsylvania roles are concentrated, by current openings.
Data Analytics Engineer Job Market in Pennsylvania
A snapshot from current Pennsylvania openings, updated as new roles post.
Who's Hiring
- PNC Financial Services14
- Kepler2
- First National Bank2
- City of Philadelphia2
- Erie Insurance2
Top Industries Hiring
- Government & Public Sector
- Automotive
- Accounting & Auditing
- Banking & Financial Services
- Investment & Asset Management
What Pennsylvania Employers Look For
The qualifications that appear most often in data analytics engineer jobs across Pennsylvania.
- Bachelor's degree in computer science, information systems, or a related quantitative field
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Experience building and maintaining ETL or ELT data pipelines in production environments
- Hands-on work with cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with data warehousing tools like Snowflake, Databricks, or BigQuery
- Strong communication skills for translating data findings to non-technical stakeholders
Data Analytics Engineer Jobs in Pennsylvania: Frequently Asked Questions
How do you become a data analytics engineer in Pennsylvania?
Data analytics engineer roles in Pennsylvania do not require a state-issued license or certification. Most employers expect a bachelor's degree in computer science, data science, information systems, or a related field, followed by demonstrated experience with data pipelines and cloud tools. Candidates who build a portfolio of pipeline or BI projects and earn vendor credentials from AWS, Microsoft, or Google tend to move through hiring pipelines at Pennsylvania employers more quickly than those relying on a degree alone.
How much do data analytics engineers make in Pennsylvania?
Data 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 data analytics engineers in Pennsylvania?
Employers hiring data analytics engineers in Pennsylvania right now include PNC Financial Services, Kepler, and First National Bank, based on current listings on Migrate Mate as of September 2026. Pennsylvania's dense concentration of financial institutions, integrated health systems, and enterprise technology firms means that demand for data engineers stays relatively stable compared to more cyclical tech markets.
Which Pennsylvania cities have the most data analytics engineer jobs?
Pittsburgh, Philadelphia, and Malvern have the most data analytics engineer openings in Pennsylvania. Philadelphia leads because of the concentration of large financial services firms, health systems like Jefferson and Penn Medicine, and corporate headquarters in the suburbs, while Pittsburgh's strength in academic medical centers, robotics, and CMU-affiliated technology companies drives a distinct second cluster of data engineering roles.
Are there remote data analytics engineer jobs in Pennsylvania?
Yes, and more than most fields. About 44% of data analytics engineer openings tied to Pennsylvania are remote or hybrid as of September 2026, reflecting how naturally suited pipeline development, SQL work, and BI tooling are to distributed teams. The pipeline-building and data modeling portions of the role transfer most easily to fully remote arrangements, while stakeholder-facing analytics work is more commonly hybrid.
How can I get hired as a data analytics engineer in Pennsylvania with little or no experience?
The most realistic entry path is transitioning from a data analyst or business intelligence analyst role, since Pennsylvania employers such as Comcast, Vanguard, and major health systems regularly promote analysts who learn pipeline tooling on the job. Building a GitHub portfolio with documented ETL projects using open datasets, earning a cloud associate credential from AWS or Microsoft, and targeting associate data engineer or junior analytics engineer postings at Pennsylvania's large hospital networks and financial firms gives candidates without a formal track the clearest route in.
Where can I find and apply to data analytics engineer jobs in Pennsylvania?
You can find and apply to data analytics engineer jobs in Pennsylvania on Migrate Mate, which lists current Pennsylvania openings updated regularly. Find the roles that fit your experience and apply directly without creating a profile or signing up first.
See All 46 Data Analytics Engineer Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find Data Analytics Engineer Jobs