Data Engineer
Confirmed live in the last 24 hours
Per Scholas
Job Description
ABOUT PER SCHOLAS:
For 30 years, Per Scholas has been on a mission to drive mobility and opportunity in the ever-advancing technology landscape by unlocking the untapped potential of individuals, uplifting communities, and meeting the needs of employers through rigorous tech training. By teaming up with dynamic employer partners, ranging from Fortune 500 companies to innovative startups, we're forging inclusive tech talent pipelines, fulfilling an ever-increasing need for skilled talent. With national remote training and campuses in 20+ cities and counting, Per Scholas offers no-cost training programs in the most sought-after tech skills, spanning Cloud, Cybersecurity, Data Engineering, IT Support, Software Engineering, and more. To date, 30,000+ individuals have been trained through Per Scholas, propelling their professional trajectories into high-growth tech careers with salaries three times higher than their pre-training earnings. Learn more by visiting PerScholas.org and follow us on LinkedIn, X, Facebook, Instagram, and YouTube.
Per Scholas preferred hires reside within the following states: AZ, CA, CO, FL, GA, IL, IN, KS, MD, MA, MI, MO, NC, NJ, NY, OH, PA, TX, WA
Position Title: Data Engineer
Location: Remote
Reports To: EVP, IT
Position Summary
Per Scholas is seeking a Data Engineer to maintain and expand our enterprise data infrastructure. This role focuses on the technical execution of our data strategy, specifically managing the flow of data into our newly established Snowflake Data Lake. You will be the "bridge" that ensures data from various sources is accurately ingested, transformed, and ready for visualization in Tableau.
Core Responsibilities
1. Data Pipeline Management
- Set up and monitor automated data ingestion connectors using Fivetran.
- Troubleshoot sync errors and work with API providers to ensure continuous data flow.
- Write and optimize SQL transformations within Snowflake to prepare data for reporting.
- Familiarity or experience with OpenFlow data ingestion is nice-to-have
2. Data Lake Maintenance
- Maintain the structure of the Snowflake Data Lake (schemas, tables, and views) as defined in partnership with InterWorks.
- Perform regular data quality checks to ensure the "source of truth" remains accurate.
- Monitor warehouse performance and assist in managing Snowflake credit consumption.
3. Reporting & Visualization Support
- Build and maintain "Published Data Sources" in Tableau for use by various departments.
- Assist team members in building complex Tableau dashboards by providing the necessary back-end data structures.
- Translate business requests into technical requirements for new data pipelines.
4. Privacy & Compliance
- Execute data masking and access control policies to ensure compliance with Data Privacy frameworks.
- Assist in maintaining documentation for data lineage and the organizational data dictionary.
Required Qualifications
- Excellent communication skills, able to communicate technical requirements to non technical audiences
- A clear understanding of data modeling and best practices
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