Sr. Data Engineer

Lancesoft; Harrisburg (Dauphin County); On-site; USD 83,000 - 152,000; Full time

Job summary

Lancesoft seeks a Sr. Data Engineer to design and implement cloud-based data solutions in Harrisburg, PA. The role focuses on building scalable data pipelines using AWS services and orchestration tools, with collaboration across data scientists and policy teams.

Responsibilities include data quality, monitoring, and developing analytical products to support education and workforce outcomes. On-site in Harrisburg; 40 hours/week for approximately 5 weeks.

Qualifications

• Advanced SQL knowledge with relational DBs.
• Experience building big data pipelines and data sets.
• Dashboards, reports, and analytics for exec/non-tech users.
• Experience with student-level higher education data linkages (desired).
• Root-cause analysis on data and processes.

Responsibilities

• Create and maintain data pipeline architecture.
• Build cloud data solutions using AWS services (S3, Glue, Redshift, EMR, Athena, Kinesis, Lambda).
• Develop data orchestration workflows (Airflow, Step Functions).
• Develop dashboards and analytical models to support decision making.

Skills

Advanced SQL

Python/Java/Scala

REST API

CI/CD

Airflow

Big data fundamentals

Tools

AWS

S3

Redshift

Glue

EMR

Athena

Kinesis

Lambda

Airflow

Job description

Title: Sr. Data Engineer

Duration: 11/23/2026 - 12/31/2026

Work Hours: 40hrs/week

Location: 400 North Street, 5th Floor, Harrisburg, PA 17120

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.

Required / Desired Skills

• 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. Required 5 Years