Data Engineer & Insights Analyst

My3Tech; Pennsylvania; On-site; USD 90,000 - 140,000; Full time

Job summary

My3Tech is seeking a Data Engineer & Insights Analyst to transform complex data into trusted information for program delivery and executive decision-making in state government agencies. The role involves building data pipelines, integrating data from multiple sources, and ensuring data quality and governance across projects.

The ideal candidate will design cloud-based data solutions using AWS services, develop analytics products, and collaborate with data scientists, policy analysts, and

Qualifications

• Advanced SQL knowledge and proficiency with relational databases and query authoring.
• Experience building and optimizing big data pipelines and datasets.
• Ability to design dashboards and reports for executive and non-technical users.
• Experience with student-level higher education data and outcomes measurement is a plus.
• Root-cause analysis on data and processes to improve business questions.
• Strong analytical skills with unstructured data and data quality frameworks.
• Experience with cloud data services (AWS) and data governance concepts.
• Familiarity with data modeling (dimensional, data vault, star/snowflake).
• Proficiency in Python, R, Java, or Scala and version control (Git).
• Experience with data integration tools and streaming systems (Kafka, Spark).

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Design and implement cloud-based data solutions using AWS services.
• Build and maintain data orchestration workflows (Airflow or similar).
• Assemble large, complex data sets meeting business requirements.
• Engineer analytics environments supporting statistics and ML.
• Collaborate with data scientists and policy analysts for reproducible research.
• Identify and implement internal process improvements for data delivery.
• Develop dashboards, reports, models, and decision-support products.
• Monitor data pipelines with logging, alerts, and quality checks.
• Ensure compliance with governance, privacy, and interagency agreements.

Skills

Advanced SQL

Big data pipelines

Dashboard design

Data analysis

Python

REST API design

Spark

Airflow

AWS services

Git & CI/CD

Tools

AWS S3

Glue

Redshift

EMR

Athena

Kinesis

Lambda

Airflow

Hadoop

Kafka

Job description

My3Tech is a CMMI Level 3, ISO 27001:2022, ISO 9001:2015 and SOC 2 Type II certified IT solutions and services firm with 16 years of experience empowering 25+ state governments and commercial clients through precision engineering and advanced technology ecosystems. Operating as a direct system integrator and staffing partner, we support mission-critical modernization programs across application development, cloud, cybersecurity, Health, Human Services and Medicaid/MMIS ecosystems. We deploy specialized professionals to seamlessly integrate with client teams, providing the experienced resources needed to drive digital transformation.

Job : Data Engineer & Insights Analyst

About role:

This position will be responsible for transforming complex data into trusted, usable information to support program delivery, operational improvements, and executive decision-making in state government agencies. The Data Engineer & Insights Analyst will understand policy-relevant research questions, evaluate available data sources, and develop analytics products to deliver actionable insights.

Additionally, the Data Engineer & Insights Analyst will design and build data pipelines, integrate and transform data from multiple sources, identify and address data quality issues, and establish controls to support responsible use of data. This role requires both technical depth and strong analytical judgment, including the ability to work with large, complex, and confidential datasets.

The successful candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. They must also be comfortable with supporting data conversions associated with system modernization and/or replacement efforts. The right candidate will be excited by the prospect of optimizing the Commonwealth's longitudinal data architecture to support our next generation of data initiatives.

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:

• Advanced SQL knowledge and proficiency working with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases.
• Experience building and optimizing 'big data' data pipelines, architectures, and data sets.
• Advanced knowledge and proficiency designing, building, and refining dashboards, reports, analytical models, and decision-support products for executive and non-technical users.
• Experience working with student-level higher education data, including establishing linkages to other sources (e.g. employment and wage data) to measure outcomes and/or generate insights for decision-making).
• Experience performing root-cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management.
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Hands-on experience with cloud-based data services such as AWS (e.g. S3, EC2, Glue, EMR, RDS, Redshift, Athena, Lambda, DynamoDB)
• Required 5 Years Proficiency in object-oriented/object function scripting languages: e.g. Python, R, Java, C++, Scala
• Required 5 Years Proficiency in relational SQL and NoSQL databases, including Oracle, MS SQL Server, Postgres, Cassandra.
• Required 5 Years Experience with version control systems such as Git and CI/CD pipelines
• Required 5 Years Knowledge of data modeling techniques including dimensional modeling, data vault, and star/snowflake schemas.
• Required 5 Years Familiarity with data cataloging and metadata management tools such as AWS Glue Data Catalog.
• Required 5 Years Understanding of data governance, data lineage, and data quality frameworks.
• Required 5 Years Knowledge of REST API design and integration patterns.
• Required 5 Years Experience with big data tools: e.g. Hadoop, Spark, Kafka.
• Required 5 Years Experience with data pipeline and workflow management tools: e.g. Azkaban, Luigi, Airflow.
• Required 5 Years Experience with data integration services solutions from vendors such as Informatica, MuleSoft, Talend, and TIBCO.
• Required 5 Years Experience with stream-processing systems: e.g. Storm, Spark-Streaming.