Data Engineer, Insights Analyst

This is a fully remote position, open to applicants in Pennsylvania.

📋 Description

• Design, construct, and maintain scalable data pipelines and analytical data environments.

• Integrate, cleanse, and transform data from various systems to fulfill documented business and technical requirements.

• Develop and uphold cloud-based data solutions and orchestration workflows.

• Implement data validation, monitoring, logging, and alert mechanisms to ensure reliable data delivery.

• Create dashboards, reports, and analytical models that effectively communicate findings to both technical and non-technical audiences.

• Investigate data discrepancies, identify root causes, and suggest enhancements.

• Automate manual processes to enhance workflow performance, reliability, and scalability.

• Collaborate with analysts, data scientists, business leaders, and other stakeholders to create valuable data products.

• Assist with data conversions and migrations related to system upgrades or replacements.

• Maintain documentation for data sources, definitions, structures, workflows, and dependencies.

• Handle confidential information in compliance with relevant privacy, security, and data governance standards.

⛳️ Requirements

• Proficient in SQL, with the ability to write complex queries and work with relational databases.

• Experience in building and maintaining data pipelines and integrating data from multiple sources.

• Skilled in developing dashboards, reports, or analytical tools that address business inquiries.

• Experience in validating data quality and investigating data or workflow complications.

• Capacity to articulate analytical findings and technical concepts to diverse audiences.

• Strong organizational skills, with the ability to communicate priorities and collaborate across teams.

• Adept at handling sensitive information correctly.

• Relevant skills and experience may be demonstrated through employment, education, training, or equivalent practical work.

• Preferred: Familiarity with AWS services such as S3, Glue, Redshift, EMR, Athena, Kinesis, or Lambda.

• Preferred: Experience with Apache Airflow, AWS Step Functions, or similar orchestration tools.

• Preferred: Background in working with large datasets, unstructured data, stream processing, or message queuing.

• Preferred: Experience in supporting statistical analysis, predictive modeling, or machine learning.

• Preferred: Knowledge of data governance, metadata management, or system migrations.

🏝️ Benefits

• Health Care Plan (Medical, Dental & Vision)

• Retirement Plan (401k)

• PTO