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Associate Data Engineer Jobs in Exton, PA (NOW HIRING)

Data Strategy-Manager

Philadelphia, PA ยท On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Data Strategy-Senior Manager

Philadelphia, PA ยท On-site

$124K - $280K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

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Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for associate data engineer in Exton, PA is $18.08, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.28 per hour, depending on experience, location, and employer.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can reach or exceed $500,000 in total compensation. Such roles often require leadership responsibilities, specialized certifications, and work in high-demand industries or companies with competitive pay structures.

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

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the salary of a 2.5 year data engineer?

A data engineer with approximately 2.5 years of experience can expect a salary range typically between $80,000 and $120,000 annually, depending on location, industry, and skill set. Proficiency in tools like SQL, Python, and cloud platforms can influence compensation levels.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What does an associate data engineer do?

An associate data engineer supports data collection, processing, and storage by developing and maintaining data pipelines and workflows. They often work with tools like SQL, Python, and cloud platforms, and typically collaborate with data scientists and engineers to ensure data quality and accessibility.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in Exton, PA? The most popular types of Data Engineer jobs in Exton, PA are:
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What job categories do people searching Associate Data Engineer jobs in Exton, PA look for? The top searched job categories for Associate Data Engineer jobs in Exton, PA are:
What cities near Exton, PA are hiring for Associate Data Engineer jobs? Cities near Exton, PA with the most Associate Data Engineer job openings:
Data Engineer (AWS, Azure, GCP)

Data Engineer (AWS, Azure, GCP)

CapTech Consulting

Philadelphia, PA โ€ข On-site

$115K - $138K/yr

Full-time

Medical, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Company Description

CapTech is an award-winning consulting firm that collaborates with clients to achieve whatโ€™s possible through the power of technology. At CapTech, weโ€™re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.

Job Description

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sourcesย in order to enableย decision-makers.ย We build pipelines and prepare data for use by data scientists, data analysts, and other data systems.ย We love solving problems and providing creative solutions for our clients.ย Cloud Data Engineers leverage the clientโ€™s cloud infrastructure to deliver this value today and to scale for the future.ย We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients.ย 

Specific responsibilities for theย Data Engineer โ€“ Cloudย position include:โ€ฏย 

  • Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)ย 
  • Advising clients on specific technologies and methodologies for utilizing cloud resources to efficientlyย ingest and process dataย quicklyย 
  • Utilizing your skills in engineering best practices to solve complex dataย problemsย 
  • Collaboratingย with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization.โ€ฏย 
  • Articulatingย architectural differences between solution methods and the advantages/disadvantages of eachย 
Qualifications

Typical experience forย successful candidates includes:ย โ€ฏโ€ฏย 

  • Experienceย delivering solutionsย on a major cloudย platformย 
  • Abilityโ€ฏto think strategically and relate architectural decisions/recommendations to business needs and clientย cultureย 
  • Experience in the design and implementation of data architecture solutionsย 
  • A wideย rangeย ofย production database experience, usually including substantial SQL expertise, database administration, and scripting dataย pipelinesย 
  • Abilityโ€ฏto assessย and utilizeย traditional and modern architectural componentsโ€ฏrequiredโ€ฏbased on business needs.โ€ฏโ€ฏย 
  • A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning.ย 

Skills:ย 

Successful candidates usually have demonstrable experience with technologies inย some ofย these categories:ย ย 

  • Languages: SQL, Python, Java, R, C# / C++ / Cย 
  • Database: SQL Server, PostgreSQL,ย Snowflake,ย Redshift, Aurora,ย Presto,ย BigQuery,ย Oracleย 
  • DevOps: git, docker, subversion, Kubernetes, Jenkinsย 
  • Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMRย 
  • Popularย Certifications: AWS Cloud Practitioner,ย Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer

Additional Information

We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions.ย  You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.ย ย Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, weโ€™ve launched extended benefits to help meet our employeesโ€™ needs.ย 

  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.ย 
  • Learning & Development โ€“ Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health โ€“A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through lifeโ€™s ups and downs
  • Carrot Fertility โ€“Inclusive fertility and family-forming coverage for all paths to parenthood โ€“ including adoption, surrogacy, fertility treatments, pregnancy, and more โ€“ and opportunities for employer-sponsored funds to help pay forย care
  • Fringe โ€“A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them โ€“ ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups โ€“ย Employee-ledย committeesย thatย embrace and incorporate diversity and inclusion into ourย day-to-dayย operations
  • Philanthropic Partnerships โ€“ย Opportunities to engage in partnerships and pro-bono projects that support our communities.ย 
  • 401(k)ย Matching โ€“ Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness โ€” each foundational to our core values.ย  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace.ย For more information about our Diversity, Inclusion and Belonging efforts,ย clickย HERE.ย  As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.

At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.ย ย