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Location:

Erie, PA (hybrid)

OR Remote Employment Type:

Contract Experience:

10 15 Years Job Summary We are seeking a Senior Full-Stack Data Engineer with deep expertise in AWS, SQL, PySpark, and Python to architect, develop, and optimize next-generation cloud data platforms. The ideal candidate will have experience with large-scale data infrastructure and modern data engineering technologies. Key Responsibilities Design and develop scalable AWS cloud data platforms . Build and optimize ETL/ELT pipelines using SQL, PySpark, and Python . Work with petabyte-scale data infrastructure and modern data architectures. Develop solutions using AWS Glue, S3, Iceberg, Snowflake, Redshift, and Athena . Support data integration, streaming, metadata management, and data quality. Implement CI/CD and version control using Git . Provide technical leadership, architecture guidance, and mentoring. Required Qualifications 10 15 years of Data Engineering/Data Architecture experience. Strong AWS experience including S3, IAM, and VPC. Advanced SQL, PySpark, and Python . Experience with Talend, dbt Core, Iceberg, AWS Glue Catalog . Experience with Snowflake, Redshift, and Athena . Experience with AWS streaming services and Splunk . Strong understanding of ETL/ELT, metadata management, and cloud-native data platforms. Preferred Qualifications Experience with petabyte-scale data environments . Insurance industry experience. Strong technical leadership and mentoring experience. Primary Skills AWS, Data Engineering, SQL, PySpark, Python, S3, IAM, VPC, AWS Glue, Glue Catalog, Iceberg, Snowflake, Redshift, Athena, Talend, dbt Core, AWS Streaming, Splunk, Git One-Line Search Summary Senior Data Engineer AWS SQL PySpark Python S3 Glue Iceberg Snowflake Redshift Athena Talend dbt Data Architecture","type","jobPosting","source","LC","accountId","100146852","organizationName","Acunor Infotech","applicationUrl","https://www.dice.com/job-detail/355d0e3d-011c-4a2a-b01a-be0a1e5d314f","Erie, PA","isRemote",true,"location",{"_235":236,"_237":238},"createdAt","2026-09-05T18:43:36.306113351Z","updatedAt","2026-09-25T13:31:49.281Z","publishedAt","2026-09-04T00:00:00Z","expiresAt","2026-10-26T00:00Z","status","active","isExpired","isDiscoverable","isSearchable","isSpotlight","isDraft","careerSkills",[157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181],"requiredEducation","na","amount",135200,"isEmailRequired","isPhoneRequired","formattedDescription","

Sr.

Data Engineer -- PYspark,SQL Remote in Erie, PA, US

• Posted 16 minutes ago

• Updated 16 minutes ago Contract W2 Contract Independent Contract Corp To Corp On-site $65/hr Acunor Infotech Fitment Dice Job Match Score™ 🔢 Crunching numbers...

Job Details Skills SQL AWS Python PySpark SQL AWS Python PySpark Summary Location:

Erie, PA (hybrid)

OR Remote Employment Type:

Contract Experience:

10 15 Years Job Summary We are seeking a Senior Full-Stack Data Engineer with deep expertise in AWS, SQL, PySpark, and Python to architect, develop, and optimize next-generation cloud data platforms. The ideal candidate will have experience with large-scale data infrastructure and modern data engineering technologies. Key Responsibilities Design and develop scalable AWS cloud data platforms . Build and optimize ETL/ELT pipelines using SQL, PySpark, and Python . Work with petabyte-scale data infrastructure and modern data architectures. Develop solutions using AWS Glue, S3, Iceberg, Snowflake, Redshift, and Athena . Support data integration, streaming, metadata management, and data quality. Implement CI/CD and version control using Git . Provide technical leadership, architecture guidance, and mentoring. Required Qualifications 10 15 years of Data Engineering/Data Architecture experience. Strong AWS experience including S3, IAM, and VPC. Advanced SQL, PySpark, and Python . Experience with Talend, dbt Core, Iceberg, AWS Glue Catalog . Experience with Snowflake, Redshift, and Athena . Experience with AWS streaming services and Splunk . Strong understanding of ETL/ELT, metadata management, and cloud-native data platforms. Preferred Qualifications Experience with petabyte-scale data environments . Insurance industry experience. Strong technical leadership and mentoring experience. Primary Skills AWS, Data Engineering, SQL, PySpark, Python, S3, IAM, VPC, AWS Glue, Glue Catalog, Iceberg, Snowflake, Redshift, Athena, Talend, dbt Core, AWS Streaming, Splunk, Git One-Line Search Summary Senior Data Engineer AWS SQL PySpark Python S3 Glue Iceberg Snowflake Redshift Athena Talend dbt Data Architecture Employers have access to artificial intelligence language tools (\"AI\") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id:

91026517

Position Id:

2026-1961 Posted 16 minutes ago Company Info About Acunor Infotech Acunor stands for Accurate North. Similar to North Star, we strive to provide accurate guidance and help our clients in every step of their journey towards a sustainable digital organization. Here at Acunor, we've been on a journey to upskill IT practitioners and we are ready to help IT organisations and individuals accelerate their upskilling journey and create the workforce of tomorrow, today.

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Find & Apply For Data Engineer Jobs in Erie, Pennsylvania

Sr.Data Engineer -- PYspark,SQL

Microsoft Fabric Data Engineer