Data Engineer

• Seeking a Data Engineer for a 6-month contract-to-hire opportunity with a Utility client in South Carolina; must be able to drive to the office a few times a month
• Lead complex, enterprise-scale data engineering initiatives, architect cloud-native warehousing solutions, and mentor junior staff
• Design end-to-end ETL/ELT and analytics platforms using Databricks, Informatica, Python, SQL, and cloud services; set and enforce engineering standards; and engage stakeholders to translate business requirements into robust, secure, and performant data products that power analytics, reporting, and ML workflows
• Responsible for architecting and delivering cloud-native data platforms and pipelines that provide reliable, governed, and scalable data to the enterprise
• Operate with broad autonomy, collaborating with executive and technical stakeholders to translate requirements into engineering specifications, cost-aware architectures, and operational runbooks
• Ensure data governance (lineage, catalog, privacy), compliance, and resilience, while driving continuous improvement across performance tuning, incident response, and reliability engineering

• Architect and develop enterprise-scale cloud data pipelines and warehousing solutions
• Lead migration initiatives from legacy platforms to cloud-native data warehouses
• Define and enforce ETL/ELT design standards, coding practices, and security controls
• Build modular, reusable data components for analytics, reporting, and ML feature pipelines
• Optimizes pipeline performance (throughput, latency, reliability) and establish SLAs/monitoring
• Provide technical leadership and mentor junior engineers as well as document frameworks and patterns
• Engage stakeholders; translate business requirements into engineering specs and roadmaps
• Govern data quality, lineage, and cataloging; ensure compliance with privacy/security policies

• Bachelor’s Degree in Computer Science, Engineering, or related discipline;
  Master’s Degree is preferred
• 2-3+ years of experience in Data Engineering (ETL/ELT, cloud warehousing, analytics) with advanced expertise in Databricks, Informatica, Python, SQL, and cloud data platforms
• Must have strong background in cloud data architecture, governance, performance optimization, and technical leadership communication

• Languages and Platforms:
  Proficient in Python and SQL, Databricks (notebooks/jobs) and Informatica (ETL/ELT)
• Cloud Platforms:
  Hands-on experience with Azure/AWS/GCP, familiarity with storage, compute, IAM, and networking basics
• Data Warehousing:
  Modeling (dimensional/star), partitioning, Delta/Parquet, medallion architecture, and performance tuning
• Orchestration and Reliability:
  Job scheduling, retries, alerting, and CI/CD basics for data pipelines
• Data Governance and Quality:
  Validations, profiling, data contracts, lineage/catalog documentation, and adherence to privacy/security policies
• Collaboration and Delivery:
  Translate stakeholder requirements, produce clear documentation and reproducible code artifacts, and manage SLAs

• Orchestration:
  Airflow/Prefect, event-driven and batch scheduling; SCD patterns and CDC/streaming (Kafka/Event Hub)
• Platform Components:
  Delta Live Tables, Feature Stores, Databricks SQL/Unity governance, and Terraform/Bicep for infra-as-code
• Integration: APIs, semi-structured/unstructured data (JSON/Avro), file ingestion at scale, and federated/virtualized query layers
• Domain:
  Utility/energy datasets (AMI, SCADA) and compliance/governance in regulated environments

At Paradigm, integrity drives innovation. You’ll collaborate with curious, dedicated teammates, solving complex problems and unlocking immense data value for leading organizations. If you seek a place where your voice is heard, growth is supported, and your work creates lasting business value, you belong at Paradigm.

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Paradigm maintains a strict drug-free workplace policy. All offers of employment are contingent upon successfully passing a standard 5-panel drug screen. Please note that a positive test result for any prohibited substance, including marijuana, will result in disqualification from employment, regardless of state laws permitting its use. This policy applies consistently across all positions and locations.

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