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Data Analytics Engineer Jobs in Philadelphia, PA

Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ... Analytics Engineer Location : Philadelphia, PA Duration : long Job Summary A highly experienced ...

Data Engineer

Philadelphia, PA · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

SAP NS2 Data and Analytics Engineer

Newtown Square, PA · On-site

$109K - $131K/yr

SAP NS2 Data and Analytics Engineer - Hybrid - Herndon, VA; Newtown Square, PA The oCOO Data Management team is responsible for providing trusted data and analysis to support evaluation, research ...

SAP NS2 Data and Analytics Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

SAP NS2 Data and Analytics Engineer - Hybrid - Herndon, VA; Newtown Square, PA The oCOO Data Management team is responsible for providing trusted data and analysis to support evaluation, research ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Data Engineer Location : Malvern, PA Hybrid (3 days a week onsite & must be willing to relocate and ... Works closely with other technical and data analytics experts across the business to implement data ...

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Showing results 1-20

Data Analytics Engineer information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

How much do data analytics engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data analytics engineer in Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

What are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Philadelphia, PA? The most popular types of Data Analytics Engineer jobs in Philadelphia, PA are:
What job categories do people searching Data Analytics Engineer jobs in Philadelphia, PA look for? The top searched job categories for Data Analytics Engineer jobs in Philadelphia, PA are:
Infographic showing various Data Analytics Engineer job openings in Philadelphia, PA as of July 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution, with an average salary of $130,895 per year, or $62.9 per hour.
Specialist, Analytics Engineer

Specialist, Analytics Engineer

Lincoln Financial

Radnor, PA • Hybrid

$55K - $100K/yr

Full-time

Medical, Retirement, PTO

Posted 10 days ago


Lincoln Financial rating

7.4

Company rating: 7.4 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

221st of 299 rated insurance


Job description

Alternate Locations: Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Omaha, NE (Nebraska); Radnor, PA (Pennsylvania)

 Work Arrangement:

Hybrid : Employee will work 3 days a week in a Lincoln office

Relocation assistance:  is not available for this opportunity.

Requisition #: 76309

The Role at a Glance

As an Analytics Engineer, you will help build and support enterprise data solutions for Lincoln Financial's Workplace Solutions Data Analytics & Reporting team. In this role, you will work with data from multiple business systems and help transform it into trusted, analytics-ready datasets that support reporting, dashboards, and business decision-making.  You'll partner with analysts, business stakeholders, solution architects, and developers to design data transformations, improve data quality, support data migration initiatives, and contribute to the development of an enterprise data mart. This role is ideal for someone early in their career who enjoys working with data, solving problems, and building solutions that make information easier to understand and use.

What you'll be doing

Data Engineering & Integration

  • Develop and maintain data transformation and integration processes.
  • Build and support data pipelines that move and prepare data for reporting and analytics.
  • Analyze source system data and help standardize it for downstream consumption.
  • Support data migration efforts involving legacy and modern platforms.
  • Troubleshoot data issues and assist with root cause analysis.

Analytics & Data Modeling

  • Create and maintain analytics-ready datasets used for reporting and business analysis.
  • Support the development of enterprise data marts and reporting solutions.
  • Work with business partners to understand reporting and data requirements.
  • Help document business rules, data definitions, and transformation logic.
  • Contribute to efforts that improve data consistency and usability across reporting assets.

 

Data Quality & Governance

  • Perform data validation and reconciliation activities.
  • Investigate data discrepancies and support issue resolution.
  • Help implement data quality checks and monitoring processes.
  • Maintain documentation related to data lineage, transformations, and reporting definitions.

Team Collaboration

  • Partner with analysts, business stakeholders, and technical teams to deliver data solutions.
  • Participate in design discussions, code reviews, testing activities, and solution walkthroughs.
  • Translate business requirements into development tasks and technical solutions.
  • Follow established SDLC, change management, and development standards.
What we’re looking for

Must-haves:

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Data Science, Mathematics, Engineering, or a related field.
  • 1-3+ years of experience in data analytics, data engineering, business intelligence, software development, or a related technical role.
  • Experience writing SQL queries and working with relational databases.
  • Familiarity with Python or another programming language used for data processing and automation.
  • Experience working with structured datasets and performing data analysis.
  • Strong analytical and problem-solving skills.
  • Effective communication and collaboration skills.

 

Nice-to-haves:

  • Experience building reports, dashboards, or analytical datasets.
  • Experience with ETL or data integration concepts.
  • Exposure to data warehouses, data marts, or dimensional modeling concepts.
  • Experience with Business Objects, Tableau, or similar reporting tools.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Internship, co-op, academic project, or professional experience involving data pipelines or analytics solutions.
Application Deadline

Applications for this position will be accepted through 9/1/2026 subject to earlier closure due to applicant volume.

What’s it like to work here?

At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future. 

What’s in it for you:

  • Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes

  • Leadership development and virtual training opportunities

  • PTO/parental leave

  • Competitive 401K and employee benefits

  • Free financial counseling, health coaching and employee assistance program

  • Tuition assistance program

  • Work arrangements that work for you

  • Effective productivity/technology tools and training

The pay range for this position is $55,700 - $100,200 with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln’s total rewards package for employees.  In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual.  Other rewards may include long-term incentives, sales incentives and Lincoln’s standard benefits package.

About The Company

Lincoln Financial (NYSE: LNC) helps people to confidently plan for their version of a successful future. We focus on identifying a clear path to financial security, with products including annuities, life insurance, group protection, and retirement plan services. 

With our 120-year track record of expertise and integrity, millions of customers trust our solutions and service to help put their goals in reach. 

Lincoln Financial Distributors, a broker-dealer, is the wholesale distribution organization of Lincoln Financial. Lincoln Financial is the marketing name for Lincoln Financial Corporation and its affiliates including The Lincoln National Life Insurance Company, Fort Wayne, IN, and Lincoln Life & Annuity Company of New York, Syracuse, NY. Lincoln Financial affiliates, their distributors, and their respective employees, representatives and/or insurance agents do not provide tax, accounting or legal advice. 

Lincoln is committed to creating an inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. 

Follow us on Facebook, X, LinkedIn, Instagram, and YouTube. For the latest company news, visit our newsroom. 

Be Aware of Fraudulent Recruiting Activities

If you are interested in a career at Lincoln, we encourage you to review our current openings and apply on our website. Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters.

Lincoln will not ask applicants to provide their social security numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or conduct interviews utilizing video chat rooms. We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview.  Please contact Lincoln's fraud team at fraudhotline@lfg.com if you encounter a recruiter or see a job opportunity that seems suspicious.

Additional Information

This position may be subject to Lincoln’s Political Contribution Policy.  An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincoln’s current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities.

Any unsolicited resumes or candidate profiles submitted through our web site or to personal e-mail accounts of employees of Lincoln Financial are considered property of Lincoln Financial and are not subject to payment of agency fees.

Lincoln Financial ("Lincoln" or "the Company") is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex, age, national origin or disability. Opportunities throughout Lincoln are available to employees and applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling 260-455-2558.

This Employer Participates in E-Verify. See the E-Verify notices.

Este Empleador Participa en E-Verify. Ver el E-Verify avisos. 


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About Lincoln Financial

Sourced by ZipRecruiter

Lincoln Financial Group, a Fortune 200 company with over 10,000 employees, provides advice and solutions that help empower Americans to take charge of their financial lives with confidence. Our core business areas - Life Insurance, Annuities, Retirement Plan Services and Group Protection - focus on supporting, preserving and enhancing over 17 million customer's lifestyles and retirement outcomes. Headquartered in Radnor, Pennsylvania, Lincoln Financial Group is the marketing name for Lincoln National Corporation (NYSE: LNC) and its affiliates. The company had $324 billion in end-of-period account values as of June 30, 2021. Ranked one of the Best Large Employers in America and Best Employers for Women by Forbes magazine as well as one of Newsweek's Most Responsible Companies, Lincoln Financial Group makes a serious investment in our employees' futures through a broad range of wealth accumulation and protection plans, health and wellness programs, and career development resources designed to help each individual reach their personal and professional goals.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

Radnor, PA, US

Year founded

1905