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We are seeking a full-time, remote Data Engineer III position.
Location: Virtual • Lombard, IL, USA | Req Number: Req #1811
Responsibilities
Design and Maintenance of Data Architectures
Architect, build, and optimize Paradigm's data pipelines, data lake, and data warehouse environments, ensuring efficient ingestion of data from SQL Server and other sources.
Incorporate modern data platform technologies such as Microsoft Fabric where appropriate to enhance scalability and performance.
Develop and Optimize Data Pipelines
Develop and maintain efficient ETL/ELT processes using tools like Azure Data Factory, SSIS, or equivalent platforms.
Leverage robust integration tools to automate data flows and ensure data quality.
Monitor and optimize these pipelines for performance, scalability, and reliability.
Collaborate with Cross-Functional Teams
Work independently with departmental leaders, business users, and analytics teams to define data requirements and prioritize projects with the highest ROI.
Partner closely with database administrators, BI developers, data scientists, and application teams to ensure data availability and alignment with business goals.
Support and collaborate on Power BI initiatives, enabling self‑service analytics.
Data Governance and Documentation
Develop and maintain comprehensive documentation for data pipelines, data models, and data governance processes.
Produce and update a data dictionary to facilitate the use of self‑service analytics tools by non‑technical business users.
Implement Data Quality and Security Controls
Enforce data governance, security policies, and access controls to ensure data confidentiality, integrity, and compliance with regulatory requirements.
Configure and maintain role‑based and object‑level security for data pipelines, warehouses, and analytics tools.
Change Management and Best Practices
Document and refine data engineering change management policies, aligning with industry best practices to maintain stable, secure, and version‑controlled environments (e.g., using Azure DevOps, AWS Pipelines).
Evaluate and Implement New Technologies
Research and recommend new data engineering tools, frameworks, and solutions, focusing on the Microsoft technology stack (e.g., Microsoft Fabric, Power BI).
Maintain awareness of industry trends to inform Paradigm's strategic data architecture decisions.
Support Ad Hoc Data Needs
Work closely with business users on ad hoc data requests, troubleshooting data issues, and providing solutions in a timely manner.
Production Support and Monitoring
Proactively monitor and troubleshoot data pipelines and integrations across SQL Server, DB2, Oracle, and cloud environments to minimize downtime.
Quickly resolve incidents to ensure seamless data availability.
Champion Data-Driven Culture
Advocate for data best practices across the organization, helping to empower both technical and non‑technical stakeholders to leverage data effectively.
Encourage wider adoption of Power BI for data visualization and analytics.
Qualifications
Education
Bachelor's degree in Computer Science, Information Systems, or a related field required.
Experience
5+ years of data engineering or related experience, with a focus on designing and developing data solutions using Microsoft or equivalent enterprise BI and data platform tools.
Strong SQL knowledge, including both DDL and DML, with exposure to SQL Server, DB2, and Oracle.
Experience with ETL/ELT tools such as SSIS, Azure Data Factory, or equivalent solutions.
Familiarity with Power BI (development, administration, or deployment).
Exposure to Microsoft Fabric or similar data platforms is highly desirable.
Source control (e.g., Azure DevOps, Git) for versioning and change management.
Cloud platform experience (Azure preferred, AWS, or GCP) especially with data storage and processing components.
Proficiency in at least one programming or scripting language (Python, PowerShell, SQL, DAX/MDX, etc.) beneficial.
Knowledge of big data frameworks (e.g., Spark) or streaming platforms (e.g., Kafka) is a plus.
Technical Skills
SQL Server Management Studio, Visual Studio, or equivalent IDEs.
Dimensional modeling (Kimball or similar methodologies) for data warehousing.
Working knowledge of modern data infrastructure concepts (data lakes, lakehouses, etc.).
Other Skills
Proficient in base Microsoft Office applications (Excel, Word, PowerPoint, Outlook). Advanced Office knowledge (SharePoint, Teams, Visio) is a plus.
Strong analytical and problem‑solving abilities, with excellent communication skills to engage both technical and non‑technical stakeholders.
Benefits
Health and wellness
– We offer PPO, HDHP, and HMO health insurance options with Cigna and Kaiser (CA employees only).
Financial incentives
– Competitive salaries, 401(k) matching, employer‑paid life and disability insurance, flexible spending and commuter accounts, employer‑matched HSA contributions.
Vacation
– Paid time off and personal holiday programs for work‑life balance.
Volunteer time
– Full and part‑time employees receive one paid day per calendar year to give back to community.
Learning and development
– Support through the Learning Excellence at Paradigm (LEAP) program.
Equal Opportunity Paradigm is an equal‑opportunity employer and does not discriminate on any protected class. We comply with federal, state, and local disability laws and make reasonable accommodations for applicants and employees with disabilities. Please contact leave.management@paradigmcorp.com for reasonable accommodation requests.
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Sprachkenntnisse
- English
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