ZipRecruiter

Log In

1

Senior Data Analytics Engineer Jobs in Lancaster, PA

Mondo

Senior Maintenance Analyst

Reading, PA · On-site

$55 - $70/hr

... data analytics, data engineering, or related experience * Expert-level SQL skills including joins, CTEs, window functions, and complex query development * Experience with ETL processes and data ...

Robert Half

Data Analyst

New Holland, PA · On-site

$100K - $110K/yr

Our client is seeking an experienced Senior Data Operations Analyst to play a key role in ... Investigate data discrepancies and partner with Data Engineering and QA teams to implement ...

New

TE Connectivity

SR SOFTWARE ENGINEER

Middletown, PA · On-site

$118K - $155K/yr

Job Title: SR SOFTWARE ENGINEER Posting Start Date: 8/31/26 At TE, you will unleash your potential ... Experience working with databases, SQL, data acquisition systems, data analytics, and reporting ...

Amphenol TCS

Data Analyst

Yocumtown, PA · On-site

We're hiring across experience levels, from junior to senior. RESPONSIBILITIES: The Data Analyst will support engineering teams by transforming raw operational data into reliable reporting and ...

Amphenol TCS

Data Analyst

Yocumtown, PA · On-site

We're hiring across experience levels, from junior to senior. RESPONSIBILITIES: The Data Analyst will support engineering teams by transforming raw operational data into reliable reporting and ...

Penske

Senior Manager - Rental Analytics

Reading, PA · On-site

... Engineering, Analytics, Mathematics, Statistics, Data Science - Master's degree preferred in ... senior leadership required - Minimum 5 years of experience with SQL or Visual Basic programming ...

Penske

Senior Manager - Rental Analytics

Reading, PA · On-site

Qualifications: - Bachelor's degree in Engineering, Analytics, Mathematics, Statistics, Data ... senior leadership required - Minimum 5 years of experience with SQL or Visual Basic programming ...

Amphenol Corporation

Data Analyst

Yocumtown, PA · On-site

$80 - $100/hr

Etters, PA The Data Analyst will support engineering teams by transforming raw operational data ... For more senior candidates: lead requirements-gathering on complex initiatives and mentor junior ...

Mondo

Senior Maintenance Analyst

Reading, PA · On-site

$55 - $58/hr

... data analytics, data engineering, or related experience * Expert-level SQL skills including joins, CTEs, window functions, and complex query development * Experience with ETL processes and data ...

Mondo

Senior Maintenance Analyst

Reading, PA · On-site

$55 - $70/hr

... data analytics, data engineering, or related experience * Expert-level SQL skills including joins, CTEs, window functions, and complex query development * Experience with ETL processes and data ...

WebstaurantStore

Senior BI Engineer, Data

Lititz, PA · On-site +1

$98K - $133K/yr

Job Summary The Enterprise BI & Analytics Team is the central hub of analytics and data engineering ... As a Senior BI Engineer , you will architect and own the next generation of our enterprise data ...

next page

Showing results 1-20

All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in Lancaster, PA

Senior Data Analytics Engineer information

See Lancaster, PA salary details

$78.7K

$122.8K

$170.1K

How much do senior data analytics engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior data analytics engineer in Lancaster, PA is $122,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $139,900.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What are the key skills and qualifications needed to thrive as a senior data analytics engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

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

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

What are popular job titles related to Senior Data Analytics Engineer jobs in Lancaster, PA?

For Senior Data Analytics Engineer jobs in Lancaster, PA, the most frequently searched job titles are:

What job categories do people searching Senior Data Analytics Engineer jobs in Lancaster, PA look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Lancaster, PA are:

What cities near Lancaster, PA are hiring for Senior Data Analytics Engineer jobs?

Cities near Lancaster, PA with the most Senior Data Analytics Engineer job openings:

Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Lancaster, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $122,771 per year, or $59 per hour.

Senior Maintenance Analyst

Mondo

Reading, PA • On-site

$55 - $70/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 23 days ago

Job description

Apply now: Senior Data Analyst, location is Hybrid/Onsite. The start date is ASAP for this contract-to-hire position.

Job Title: Senior Data Analyst Location-Type: Hybrid (Reading, PA)- Onsite to start, then more of a flexible hybrid schedule Start Date Is: ASAP Duration: 6-Month Contract-to-Hire (must be able to convert without sponsorship) Compensation Range: $55-$70 per hour W2 ONLY Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Seeking a Senior Maintenance Analyst to support the development of scalable data products, analytics solutions, and reporting capabilities that drive operational decision-making across multiple business functions.

Day-to-Day Responsibilities:

  • Develop and maintain scalable, reusable data products for cross-functional business teams
  • Build and optimize SQL queries, ETL processes, and data transformation workflows
  • Develop analytics solutions using Python and PySpark
  • Support data pipeline design, validation, and governance initiatives
  • Partner with stakeholders to gather requirements and translate business needs into data solutions
  • Collaborate with data science, engineering, and reporting teams to deliver standardized data products
  • Evaluate and recommend appropriate technologies based on business requirements, cost, and scalability
  • Support data visualization and reporting initiatives
  • Ensure data quality, integrity, and governance standards are maintained
  • Analyze large-scale datasets and provide actionable business insights

Minimum Requirements:

  • 3-5 years of data analytics, data engineering, or related experience
  • Expert-level SQL skills including joins, CTEs, window functions, and complex query development
  • Experience with ETL processes and data cleansing
  • Strong Python development experience
  • Experience developing solutions using PySpark
  • AWS cloud services experience
  • Experience working with large datasets and enterprise-scale data environments
  • Strong analytical and problem-solving abilities
  • Excellent communication and stakeholder management skills
  • Ability to work independently and take ownership of projects

Preferred Qualifications:

  • Experience with Tableau, Qlik Sense, or similar visualization tools
  • Experience with SQL Server, Oracle, IBM DB2, or related databases
  • Power Platform experience
  • Exposure to data science, forecasting, or predictive analytics initiatives
  • Knowledge of geospatial analysis or ESRI/ArcGIS concepts
  • Experience supporting cloud and on-premises data ecosystems