Job Title: Lead/Architect Level Data Engineer & Insights Analyst
Location: 100% Remote, Harrisburg, PA
Duration: Long Term Contract
Industry: Healthcare / Government
Pay Rate: $100/hr on W2 (No Benefits)
Interview: Two rounds of interviews, the first via Teams. Second-round interviews for finalists will be in-person in Harrisburg, PA
Job Description:
The Commonwealth of Pennsylvania is seeking a Data Engineer & Insights Analyst to support the Pennsylvania Longitudinal Data System (PALDS). The candidate will design and maintain data pipelines, integrate and transform complex datasets, ensure data quality, and develop analytics solutions to support government programs, operational improvements, and executive decision-making.
Responsibilities:
Create and maintain optimal data pipeline architecture.
Design and implement cloud-based data solutions using AWS services such as S3, Glue, Redshift, EMR, Athena, Kinesis, and Lambda.
Build and maintain data orchestration workflows using tools such as Apache Airflow, AWS Step Functions, or similar services.
Assemble large, complex data sets that meet functional / non-functional business area requirements.
Engineer analytical data environments that support advanced statistical analysis, predictive modeling, machine learning, and evidence-building activities.
Partner with data scientists, research analysts, and policy analysts to ensure enterprise data assets support reproducible research and statistical modeling.
Identify, design, and implement internal process improvements: e.g. automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and 'big data' technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into education and workforce outcomes, operational efficiency, and other key business performance metrics.
Develop and maintain data pipeline monitoring, alerting, and logging frameworks.
Implement data quality checks and validation frameworks across pipelines.
Develop dashboards, reports, analytical models, and/or other decision-support products.
Work with stakeholders including the Executive, Data, Design, and Support teams to assist with data-related technical issues and support their data infrastructure needs.
Ensure compliance with applicable Commonwealth policies, data governance standards, privacy requirements, security controls, and interagency data-sharing agreements.
Create data tools for analytics and data scientist team members that assist them in building and optimizing data products needed to support ongoing operations and data-informed decision-making.
Work with data and analytics professionals to strive for greater functionality in our data systems.
Required Qualifications:
Hands-on experience with cloud-based data services such as AWS (e.g. S3, EC2, Glue, EMR, RDS, Redshift, Athena, Lambda, DynamoDB)
Proficiency in object-oriented/object function scripting languages: e.g. Python, R, Java, C++, Scala
Proficiency in relational SQL and NoSQL databases, including Oracle, MS SQL Server, Postgres, Cassandra.
Experience with version control systems such as Git and CI/CD pipelines
Knowledge of data modeling techniques including dimensional modeling, data vault, and star/snowflake schemas.
Familiarity with data cataloging and metadata management tools such as AWS Glue Data Catalog.
Understanding of data governance, data lineage, and data quality frameworks.
Knowledge of REST API design and integration patterns.
Experience with big data tools: e.g. Hadoop, Spark, Kafka.
Experience with data pipeline and workflow management tools: e.g. Azkaban, Luigi, Airflow.
Experience with data integration services solutions from vendors such as Informatica, MuleSoft, Talend, and TIBCO.
Experience with stream-processing systems: e.g. Storm, Spark-Streaming.