Data Engineer

4 weeks ago

Birmingham, United States Synergis Full time

Data Engineer

Hybrid-Birmingham, AL

W2 contract w/ full benefits


*Not open to C2C


Data Engineer Responsibilities:


Data Pipeline Development:

  • Assist TO in designing, building, and maintaining scalable data pipelines to ingest, transform, and store large volumes of AMI data from various sources.
  • Collaborate with data scientists to ensure seamless integration of data pipelines with analytical models and AI processes.

Data Modeling and Architecture:

  • Develop and implement data models and architectures optimized for AMI data analytics, ensuring efficiency, scalability, and data integrity.
  • Implement best practices for data storage, partitioning, and indexing to optimize performance and facilitate analysis.

Cloud Environment Management:

  • Work within cloud environments - Azure to deploy, manage, and optimize data engineering solutions.
  • Collaborate with cloud architects and administrators to ensure security, compliance, and cost-effectiveness of cloud infrastructure.

Power BI Visualization and Reporting:

  • Develop and maintain Power BI dashboards and reports to visualize AMI data insights and facilitate data-driven decision-making.
  • Ensure the accuracy, reliability, and usability of visualizations to meet business requirements.

Data Cataloging and Documentation:

  • Catalog and document AMI data sources, datasets, and metadata to facilitate data discovery, lineage, and governance.
  • Implement data cataloging best practices to ensure the availability and accessibility of AMI data assets.



Data Engineer Qualifications:

  • Bachelor’s degree in Computer Science, Information Technology, or related field.
  • 3+ years of experience in data engineering or related roles, preferably in a cloud environment.
  • Knowledge, Skills & Abilities:
  • Proficiency in programming languages such as Python, SQL, and Scala.
  • Proficiency with Power BI for data visualization and reporting.
  • Experience with cloud-based data platforms (e.g., Azure Databricks, AWS EMR).
  • Strong understanding of data modeling, ETL processes, and data warehousing concepts.
  • Familiarity with big data technologies


Data Engineer Preferred:

  • Innovative and adaptable, with a passion for continuous learning and improvement.
  • Strong communication and collaboration skills, with the ability to work effectively across teams.
  • Results-oriented and committed to delivering high-quality solutions that meet business needs.
  • Ethical conduct and commitment to safety in all aspects of work.



Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law.


For immediate consideration, please forward your resume to agaede@synergishr.com


If you require assistance or an accommodation in the application or employment process, please contact us at agaede@synergishr.com.


Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at

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