AWS Data Engineer

Quantum Technologies. LLC; Exton (PA); On-site; USD 84,000 - 120,000; Full time

Job summary

The Commonwealth of Pennsylvania is seeking a Data Engineer & Insights Analyst to join its PALDS analytics team in Exton, PA. You will transform complex data into trusted information to support program delivery, operational improvements, and executive decision-making across state agencies.

Responsibilities include designing data pipelines on cloud platforms, building dashboards for executives, evaluating data sources, and delivering actionable analytics while coordinating with policy researchers

Qualifications

• Advanced SQL and relational DB experience; knowledge of multiple databases.
• Experience building big data pipelines and data sets.
• Experience creating dashboards and analytics for executives.

Responsibilities

• Transform complex data into actionable analytics to support state programs.
• Develop analytics products for executive decision-making.
• Collaborate with policy researchers and data providers to link sources.

Skills

Python

R

Java

C++

Scala

SQL

NoSQL databases

Data modeling

Data governance

REST API design

Spark

Kafka

Airflow

Tools

AWS cloud services

Git

CI/CD pipelines

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AWS Data Engineer

Location: Exton, PA

Duration: 8 Months + Extension

Bill Rate: $74/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description

The Commonwealth of Pennsylvania is looking for a Data Engineer & Insights Analyst to join its team of analytics professionals to support the Pennsylvania Longitudinal Data System (PALDS). 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.

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.

Skill Required

• 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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.