The Role
Build and manage data engineering solutions involving data modeling, ETL/ELT, integration, master data management, data quality, warehousing, analytics, business intelligence, and governance. Use Microsoft Azure, Informatica, Snowflake, and programming languages including Python, C#, SQL, and Java. Communicate complex technical concepts clearly, analyze data to identify opportunities, advise stakeholders, and drive strategic improvements.
Summary Generated by Built In
Role: Data Engineer
Remote- Chicago,IL
Employment Type: W2 Only
Work Authorization: Any- No H1B/CPT
Locals highly preferred
No C2C, 1099, or third-party profiles accepted.
- Bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field
- 8+ years of overall experience in data engineering – primarily within data including experience with data modelling, ETL/ELT, data integration, master data management/entity management, data quality, data warehousing, analytics (prescriptive, predictive), business intelligence, data science, and governance.
- Proficiency in programming languages such as C#, Python, SQL, and Java.
- Experience with Microsoft technologies (SQL Server (IaaS, PaaS), Synapse, CosmosDB, HDInsight, Azure Data Factory, Azure Databricks, Power BI, Fabric), Informatica cloud technologies (CIH, DIH, CDGC, Master Data Management, Data Quality), Snowflake, and other relevant industry leaders.
- Communicate clearly and concisely with others, including senior leadership, in and outside of the organization in a credible, engaging, and confident manner. Possess the ability to adapt communication style and method as necessary, using the most effective communication method for each situation.
- Summarize and translate complex, technical information into straightforward language that is simple, memorable, and engaging for various technical and non-technical audiences, helping with interpretation based on anticipated use of the information.
- Ability to think critically and creatively. Demonstrate skill at using a variety of tools and processes to conduct research and analyses; Recognize trends in complex data and information; Use these insights to identify opportunities and make timely decisions, taking into consideration the short and long-term implications of decisions. Advise key decision makers and influence others using persuasion and negotiation tactics.
- Take the initiative to make things happen. Proactively look for solutions and help others to think ahead. Accept and seek challenges, step outside of your comfort zone. Think and act strategically to drive the success of the business and enhance our client experience. Be innovative and share ideas for continuous improvement. Look for efficiencies in the way work is completed.
- Be flexible and work effectively across various types of situations to achieve goals. Navigate through unexpected issues and be responsive to others’ needs. Prioritize different work streams and balance short-term versus long-term objectives.
- Value individual differences and treat everyone with respect and kindness. Be appreciative of others; Strive for humility. Respect diverse backgrounds and ways of thinking. Listen to understand and express genuine interest in other perspectives. Strive to understand and take ownership of how your emotions and actions impact others.
- Align actions with words and approach work and interactions with others with a positive attitude and an optimistic outlook. Assume positive intent. Stay composed and resilient during challenging times. Respond productively to conflict and have difficult conversations when needed.
- Distinguish yourself with stakeholders in and outside the firm by growing your personal brand. Look for ways to share knowledge, make an impact, and leverage talents.
Skills Required
- Bachelor’s degree in computer science, data science, software engineering, information systems, or a related quantitative field
- 8+ years of overall experience in data engineering
- Experience with data modeling, ETL/ELT, data integration, master data management or entity management, data quality, data warehousing, analytics, business intelligence, data science, and governance
- Proficiency in C#, Python, SQL, and Java
- Experience with Microsoft data technologies including SQL Server, Synapse, Cosmos DB, HDInsight, Azure Data Factory, Azure Databricks, Power BI, and Fabric
- Experience with Informatica Cloud technologies, including CIH, DIH, CDGC, master data management, and data quality
- Experience with Snowflake or comparable industry-leading data technologies
- Strong written and verbal communication skills with technical and non-technical audiences
- Critical and creative thinking, research and analytical skills, and the ability to identify trends and advise decision makers
- Ability to prioritize workstreams, adapt to changing situations, and drive continuous improvement
- Ability to work respectfully and effectively with diverse stakeholders
- W2 employment authorization; no H1B or CPT
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
SCI Solutions Global LLC is a U.S.-based technology consulting and talent-solutions company. It provides digital-transformation services, IT project-delivery support, skilled technology professionals, and scalable software solutions to businesses ranging from startups to large enterprises. The company helps clients address technology challenges, build high-performing teams, and improve business outcomes through tailored consulting, staffing, systems, and software expertise across multiple industries and technology disciplines.
