Data Engineer Insights Analyst Remote

Job Title: Data Engineer & Insights Analyst - Remote

Duration (Contract): 1+ Months

Client Location: Harrisburg, PA

Location Preference: Remote

Job Description:
As a Data Engineer & Insights Analyst, you will be responsible for designing, building, and optimizing enterprise data pipelines, analytics platforms, and reporting solutions that support data-driven decision-making. This role combines advanced data engineering, analytics, and business intelligence capabilities to transform complex, large-scale datasets into trusted information and actionable insights. The ideal candidate will possess strong expertise in cloud-based data architectures, big data technologies, data governance, and analytical solution development while collaborating with cross-functional teams to support strategic initiatives and operational improvements.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and data integration architectures.
• Build and implement cloud-based data solutions utilizing AWS services and modern data engineering practices.
• Develop and support data orchestration workflows using tools such as Apache Airflow, AWS Step Functions, or equivalent platforms.
• Create and optimize ETL/ELT processes for integrating data from multiple internal and external sources.
• Design analytical data environments that support reporting, predictive modeling, machine learning, and advanced analytics initiatives.
• Develop dashboards, reports, analytical models, and decision-support solutions for business stakeholders and leadership teams.
• Implement monitoring, alerting, logging, and automated data quality validation frameworks across data platforms.
• Collaborate with analysts, data scientists, and business teams to deliver reliable, actionable insights and data products.
• Support data modernization, migration, and data conversion initiatives while ensuring system scalability and performance.
• Ensure compliance with data governance, security, privacy, and data-sharing requirements across all data solutions.

Required Skills, Experiences, Education, and Competencies:

• Advanced SQL expertise with extensive experience in relational databases, query optimization, and data modeling.
• Proven experience building, optimizing, and maintaining large-scale data pipelines, architectures, and data platforms.
• Strong experience designing and implementing cloud-based data solutions utilizing AWS services such as S3, Glue, Redshift, Athena, EMR, Lambda, and Kinesis.
• Expertise developing dashboards, reports, analytical models, and executive-facing decision-support products.
• Experience working with large, complex, structured, and unstructured datasets in enterprise environments.
• Strong knowledge of ETL/ELT processes, metadata management, data transformation, and workload orchestration frameworks.
• Experience supporting advanced analytics, statistical analysis, predictive modeling, or machine learning initiatives.
• Working knowledge of message queuing, stream processing, and highly scalable big data technologies.
• Proven ability to perform root cause analysis, identify data quality issues, and implement sustainable process improvements.
• Strong project management, communication, analytical, and stakeholder collaboration skills; experience working with education, workforce, or longitudinal data systems is highly preferred.

The hourly range for roles of this nature are $45.00 to $80.00/hr. Rates are heavily dependent on skills, experience, location, and industry.