Data Engineer & Insights Analyst

Location: Harrisburg, PA Salary: $85.00 USD Hourly - $95.00 USD Hourly Description: Role Summary

The hiring team seeks a Data Engineer & Insights Analyst to support a large-scale longitudinal data environment by transforming complex data into trusted, usable information for operational improvements and executive decision-making. The role combines hands-on data engineering, cloud-based architecture, analytics development, data governance, and stakeholder engagement. The successful candidate will build scalable data pipelines, support modern data initiatives, and develop analytical products from large, sensitive datasets.
Key Responsibilities

• Create and maintain scalable data pipeline architecture and data integration frameworks.
• Design and implement AWS-based data solutions using services such as S3, Glue, Redshift, EMR, Athena, Lambda, and related technologies.
• Build and maintain workflow orchestration solutions using Airflow, AWS Step Functions, or similar platforms.
• Develop ETL/ELT processes, data transformations, monitoring, alerting, logging, and data quality controls.
• Engineer analytical environments supporting advanced analytics, predictive modeling, machine learning, and research initiatives.
• Develop dashboards, reports, analytical models, and decision-support products for technical and non-technical stakeholders.
• Collaborate with analysts, data scientists, and business stakeholders to support data-driven decision-making.
• Ensure compliance with data governance, privacy, security, and data-sharing standards.

Required Qualifications

• 5+ years of experience with AWS cloud data services including S3, Glue, EMR, Redshift, Athena, Lambda, DynamoDB, and EC2.
• 5+ years developing with Python, Java, Scala, R, C++, or comparable programming languages.
• 5+ years of SQL expertise and experience with relational and NoSQL databases including Oracle, SQL Server, PostgreSQL, and Cassandra.
• 5+ years of experience building and optimizing large-scale data pipelines and data architectures.
• Experience with Spark, Hadoop, Kafka, stream-processing technologies, and big data ecosystems.
• Experience with Airflow, Azkaban, Luigi, or comparable workflow orchestration tools.
• Knowledge of dimensional modeling, Data Vault, star schema, and snowflake schema methodologies.
• Experience with Git, CI/CD pipelines, data governance, data lineage, metadata management, and data quality frameworks.

Preferred Qualifications

• Experience integrating student-level higher education data with workforce, employment, or wage datasets.
• Experience with Informatica, MuleSoft, Talend, TIBCO, or similar integration platforms.
• Experience supporting system modernization, migration, or data conversion initiatives.
• Experience developing executive-facing dashboards and analytics products.

Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.
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