Data Engineer (remote)

Converge Technology Solutions

130d

About The Position

This exciting opportunity is a full-time, permanent role with Pellera Technologies. The Data Engineer is responsible for designing, developing and managing the data infrastructure and pipelines within an organization. This position plays a crucial role in ensuring that data is collected, processed and made available for analysis and decision-making. Duties include identifying clients' internal and external data sources, collaborating with stakeholders to determine data and organizational needs, and using the information to create and maintain data infrastructure and pipelines. Please Note: All candidates must have Microsoft Fabric experience to be considered.

Requirements

• 3-5 years’ experience as a data engineer or similar role.
• Degree in Computer Science, Software Engineering, or similar field.
• Data Modeling experience.
• ETL/ELT Data Integration experience.
• Database experience and proficiency in writing/analyzing complex SQL queries.
• Advanced Skills and hands-on experience with Azure Platform and Microsoft Fabric data tools including: Azure Data Factory, Gen 2 Data Flows, Synapse, ADLS / OneLake, Logic Apps, Azure SQL, Purview, etc.

Nice To Haves

• DataBricks & PySpark experience.
• Snowflake experience.
• Experience with IBM Cognos Analytics and/or Tableau.
• Prior consulting background.
• Experience with Powerapps / Powerautomate.
• ETL/ELT data integration experience with tools such as Matillion, Informatica, AWS Glue, Alteryx.
• PowerBI Paginated Reports.
• AI Prompt Engineer.

Responsibilities

• Analyze and organize raw data.
• Build data systems and pipelines.
• Evaluate business needs and objectives.
• Interpret trends and patterns.
• Conduct complex data analysis and report on results.
• Prepare data for prescriptive and predictive modeling.
• Combine raw information from different sources.
• Explore ways to enhance data quality and reliability.
• Identify opportunities for data acquisition.
• Develop analytical tools and programs.
• Collaborate with data scientists and architects on several projects.
• Other duties as assigned.

Benefits

• Base salary.
• Quarterly bonus.
• Healthcare benefits.
• 401k match.
• PTO/holiday.
• Training/development.
• Promotional opportunity.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees