Location: Greater Harrisburg, PA (Hybrid/Onsite Options May Vary)
Job Type: Future Opportunity – Talent Pipeline
Work Authorization: U.S. Citizen or Permanent Resident
Status: Not an Active Opening
LingaTech is building a pipeline of experienced Data Warehousing professionals to support anticipated future needs with both Commonwealth and commercial clients. This posting is not tied to a current requisition. Instead, we are proactively identifying and engaging candidates with strong data engineering, analytics, and ETL backgrounds for upcoming contract, contract-to-hire, and full-time roles.
You may be considered for upcoming openings such as:
Data Warehouse Developers / Engineers
ETL Developers
Data Analysts / BI Analysts
Data Architects
Database Developers (SQL/PL-SQL/T-SQL)
Data Quality / Data Governance Specialists
Reporting Developers (Power BI, Tableau, Qlik)
Cloud Data Engineers (Azure/AWS/GCP)
Responsibilities will vary by role but may include:
Designing, building, and maintaining data warehouse environments (on-prem or cloud)
Developing ETL/ELT pipelines using tools such as Informatica, SSIS, Azure Data Factory, Databricks, or similar
Gathering requirements and translating business needs into data models and reporting solutions
Building dashboards, KPIs, and visualizations in Power BI, Tableau, or Qlik
Managing data quality, governance, metadata, and documentation
Optimizing database performance and SQL queries
Supporting data migration, integrations, and modernization initiatives
Collaborating with cross-functional teams, business units, and technical stakeholders
Professional experience in data warehousing, ETL, or data engineering
Proficiency with SQL and relational databases (SQL Server, Oracle, PostgreSQL, etc.)
Experience with at least one modern ETL/ELT tool (e.g., SSIS, ADF, Informatica, Talend, Databricks)
Ability to analyze and interpret data to support business decisions
Strong problem-solving skills and attention to detail
Ability to work in a client-facing or collaborative team environment
(Not required for pipeline consideration)
Experience with cloud data platforms (Azure Synapse, AWS Redshift, Snowflake, BigQuery)
BI/reporting experience with Power BI, Tableau, or Qlik
Data modeling experience (Kimball, Inmon, Data Vault)
Familiarity with Python, Spark, or other data engineering tools
Public sector or enterprise data experience
Knowledge of data governance best practices
Early access to new roles as they open
Opportunities across a wide range of data and analytics projects
Visibility for both short-term and long-term roles
Connect with a relationship-driven team with strong ties to Central PA clients
This is a pipeline posting only and is not associated with an active opening. It is used solely to identify future Data Warehousing talent.