Data Analytics Engineer Jobs in Philadelphia, PA
Data Analytics Engineer jobs in Philadelphia are concentrated in Center City, University City, and the Navy Yard, with strong demand from healthcare systems, financial services firms, and life sciences companies, plus Kepler, City of Philadelphia, and City of Philadelphia, PA hiring actively. Specializations in dbt, Snowflake, and cloud pipeline architecture stand out in this market. See the openings below and apply to the ones that match your experience.
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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 Philadelphia
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Find Data Analytics Engineer JobsData Analytics Engineer Job Market in Philadelphia
Who's Hiring
Top Industries Hiring
- Government & Public Sector14
- Accounting & Auditing5
- Investment & Asset Management5
- Consulting & Professional Services5
Data Analytics Engineer Jobs in Philadelphia: Frequently Asked Questions
How do I get a data analytics engineer job in Philadelphia?
Focus your search on Philadelphia's healthcare networks, regional banks and insurers, and the growing life sciences corridor in University City, where demand for data pipeline and modeling expertise is highest. Candidates who combine strong SQL and dbt skills with experience in healthcare or financial data workflows have a clear edge locally. Networking through Philadelphia-area data meetups and targeting mid-size firms in Center City and the Navy Yard also surfaces roles that rarely appear on national boards.
Which companies hire data analytics engineers in Philadelphia?
Companies currently hiring data analytics engineers in Philadelphia include Kepler, City of Philadelphia, and City of Philadelphia, PA, per current listings on Migrate Mate as of September 2026. Philadelphia's employer mix leans heavily toward large health systems, regional financial institutions, and insurance carriers, alongside a growing number of tech-forward startups based in University City and Fishtown.
Are there remote data analytics engineer jobs in Philadelphia?
Yes, data analytics engineering is well-suited to remote work given its desk-based, tool-driven nature. About 22% of data analytics engineer openings tied to Philadelphia are remote or hybrid as of September 2026, reflecting the broad shift toward flexible arrangements in analytical and engineering roles. Pipeline development, data modeling, and documentation tasks are the functions most commonly performed fully remotely by Philadelphia-based teams.
How can I get a data analytics engineer job in Philadelphia with little or no experience?
The most realistic entry path in Philadelphia is through a junior data analyst or business intelligence analyst role at one of the city's large health systems or financial services firms, which frequently hire for entry-level data positions and promote internally into engineering tracks. Building a portfolio with dbt projects and contributing to open-source pipelines strengthens applications considerably. Philadelphia-area bootcamps and Drexel or Temple continuing-education programs have direct relationships with local employers that hire early-career candidates.
Which industries hire the most data analytics engineers in Philadelphia?
The sectors hiring the most data analytics engineers in Philadelphia are Government & Public Sector, Accounting & Auditing, and Investment & Asset Management, based on current listings on Migrate Mate as of September 2026. Philadelphia's concentration of major academic medical centers, regional insurers, and a historically deep financial services base makes those industries the dominant sources of sustained, year-round demand for this role.
Related Jobs in Pennsylvania
See All 46 Data Analytics Engineer Jobs in Philadelphia
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