FreshRemote.Work

Data Engineer II (Remote Eligible)

Englewood, CO - CO RMS, United States

SNC can only hire in these states: AL, AK, AZ, CA, CO, FL, GA, HI, ID, IL, IN, KS, KY, LA, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NC, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WV, WI.

As a Data Engineer II, you'll be involved in designing, developing, documenting, testing, and debugging new and existing cloud-based data pipelines and transformations. In this role, you will collaborate in design meetings and work closely with a team of engineers to develop processes and structures that ingest data from multiple sources into our cloud-based Enterprise Data Warehouse (EDW).

You will leverage a variety of tools within the EDW to implement and continuously improve data integration, master data management, data lifecycle management, data security, data quality management, metadata management, and reporting and analytics. Additionally, you'll be responsible for performing defect corrections, which includes analysis, design, and coding.

This role offers a unique opportunity to work on fulfilling and cutting-edge technology projects that are central to our data strategy. If you're passionate about data and eager to make a significant impact, this is the perfect role for you!

As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.

Responsibilities:

  • You are a smart, collaborative person who takes ownership and gets things done, curious about cloud-based tools, architectures, and languages, capable of breaking technical requests into manageable tasks, and comfortable asking for help and raising concerns as needed.
  • You have foundational, hands-on experience with at least one cloud platform (AWS, Azure, GCP), at least one programming language (e.g. Python, Java), and demonstrated experience with SQL data modeling.
  • You will leverage strong technical skills to build, implement, and improve cloud-based data pipelines, design and implement data models that ensure data accuracy, completeness, and consistency, develop maintainable infrastructure, DevOps, and standards for a robust EDW, troubleshoot and resolve issues related to production cloud resources, and learn and adapt to new tools and techniques.
  • You will leverage strong communication skills to consult with business clients to gather technical requirements for data ingestions and models, communicate solution design pros and cons to the team technical lead, explain technical problems to leadership, business, and other developers, and document processes and standards.

Qualifications You Must Have:

  • Bachelor's Degree …
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