Easter Seals Jobs

Job#: 2035289

Job Description:

Job:Data Engineer

Location: 100%Remote

Duration: Direct Hire

Salary Range: $110 - $125K base

* We are unable to Sponsorat this time**

Apex Systems is seeking a highly experienced Data Engineer for an exciting full-time remote job for a company located in Ohio. As a Data Engineer, you will join a brand-new Digital team tasked with leading an enterprise-wide Digital transformation. You will work on an Agile team that is digitally enabling the company by building data pipelines that drive analytic solutions. These solutions will generate insights from the connected data, enabling the organization to advance the data-driven decision-making capabilities of the enterprise. This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data and software engineer with experience creating data products supporting analytic solutions. This position is not currently available for candidates located in CALI, WA, OR, NY, IL, KY, CO, MA, MONTANA, or NEBRASKA.

Required:

5+ years of experience with the following:

• Experience delivering large scale analytics projects - leading requirements gathering, design and architecting complex solutions such as, cloud migration, integration of data from 6 or more various source systems involving data collection and storage systems (structured and unstructured data)
• Dimensional modeling (Kimball, etc.) exposure
• Minimum 5+ years of experience
• Worked on large Data Engineering initiatives from start to finish
• Formal ETL tooling (Informatica, DataStage, etc.)
• Azure experience (not just a "cloud engineer" or just using services but more on data / migration side and creating pipelines etc.)
• Oracle experience preferred OR at least very strong SQL w/ ETL
• Bachelor's in computer science

Job Duties:

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
• Design and architect different data sets going into the data lake and then into subsequent warehouses and data marts.
• ETL work for moving data from one place to another (Informatica primarily is ETL tool they use for data governance, data replication, data capture, datacenter, etc.)
• Working with on-prem data lake in MS-SQL (relational) and will be working to design and architect different data sets going into the data lake and then into subsequent warehouses and data marts
• Solve complex data problems to deliver insights that help the organizations business to achieve their goals
• Create data products for analytics and data scientist team members to improve their productivity
• Advise, consult, mentor, and coach other data and analytic professionals on data standards and practices
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
• Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve the organizations productivity as a team
• Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.

Highly Desired:

Experience in designing and/or developing analytics applications using tools such as Power BI, QlikView, SAS, RapidMiner, or other comparable products

Experienced in Agile/Scrum development with DevOps methodologies geared toward rapid prototyping and piloting of cloud solutions

Experience with DataBricks OR Sno