Data Engineer Sr.

Youngsoft, Inc. ( is a global software solutions IT company, delivering digital enterprise business betterment since 1996. Through collaborative engagement and discovery with our clients and vendors, we co-create industry specialized digital products, applications software, process, programs, and project outcomes. Headquartered in metro-Detroit, we leverage "pods" of Subject Matter Experts, Business Analysts, Solutions Architects, Software Engineers, and Project Managers, fused with HyperCare through our Global Support Centers. Through inclusivity, we share a singular vision to deliver world-class measurable upside results to our customers. It takes a village – come join ours!

 Job Description

Job Title: Data Engineer

100% Remote

Technical Skills:

Must Have

·        Experience interacting with and extracting data from modern web APIs

·        Experience with cloud platforms such as AWS and Snowflake

·        Experience with relational database management systems (Oracle/Microsoft SQL Server)

·        Experience with scripting languages such as R and Python

·        Experience with SQL

·        Familiarity with at least one commonly used programming language Capability to design and document conceptual, logical, and physical data models for relational and dimensionally modeled databases

·        Familiarity with modern source/version control tools (Git, CodeCommit, Subversion

·        Familiarity with various raw data source types and how to interpret them. (Unstructured -JSON/BSON, Flat files, XML, etc.)

 Nice To Have

·        Data visualization experience in common business intelligence tools (Tableau, D3.js, R/Shiny, SAP Products).

·        Data wrangling experience using a variety of tools and language.

·        Experience with lean-agile principles and framework for project completion. Interpret process performance outputs and improve workflow performance for affected jobs.

·        Familiarity with at least one commonly used programming language.

·        Familiarity with project management workflow tracking software such as JIRA/Trello.

·        Knowledge of Software Development Life Cycle and best practices.

·        Strong technical writing and presentation skills.

 Specific Skill Set Requirements: 

·        Experience with relational database management systems (Oracle/Microsoft SQL Server)

·        Familiarity with at least one commonly used programming language

·        Knowledge of Software Development Life Cycle and best practices Data wrangling experience using a variety of tools and languages

·        Experience with SQL Strong technical writing and presentation skills Data visualization experience in common business intelligence tools (Tableau, D3.js, R/Shiny, SAP Products)

·        Familiarity with project management workflow tracking software such as JIRA/Trello

·        Experience with lean-agile principles and framework for project completion

·        Capability to design and document conceptual, logical, and physical data models for relational and dimensionally modeled databases Interpret process performance outputs and improve workflow performance for affected jobs

·        Familiarity with modern source/version control tools (Git, CodeCommit, Subversion)

·        Familiarity with various raw data source types and how to interpret them. (Unstructured -JSON/BSON, Flat files, XML, etc.)

·        Experience with scripting languages such as R and Python

·        Experience interacting with and extracting data from modern web APIs Experience with cloud platforms such as AWS and Snowflake.

Job Summary:

·        Designs, configures, develops, tests and deploys ELT/ETL processes and self-service reporting assets to provide data exploration capabilities to end users, while adhering to organizational, departmental, team and governmental standards and regulations.

·        Proactively communicates with data consumers to improve performance of processes connecting to data.

·        Designs and builds data models, contributing to an ongoing review of enterprise architectural standards and designs.

·        Participates in data cleansing and profiling efforts and traces data quality issues to their source.

·        Provides operational support for systems and applications troubleshooting and maintenance, and ad-hoc support for incidents related to data warehouses, data sets and data pipelines.

·        Participates in organizational Data Governance for data assets and in enterprise-wide Agile ceremonies.

·        Works with more experienced team members to capture, document and groom features and stories for Agile/scrum teams.

·        Team members in this position excel at working self-sufficiently in most activities and know when to engage others.

·        Provides coaching to less-experienced Data Engineers.

Essential Functions:

·        Designs, configures, develops, tests and deploys ELT/ETL processes across multiple sources, targets and tools, and self-service reporting assets to provide data exploration capabilities to end users.

·        Demonstrates deep understanding of one or more data domains, the processes that generate the associated data, and the potential biases within those data sets.

·        Leads communications with data consumers with a skill growth mindset, to improve performance of processes connecting to data, and shares best practices.

·        Develops relationships and collaboration across multiple teams to deliver timely and reliable information that enables users to uncover insight from information.

·        Provides operational support for systems and applications troubleshooting and maintenance support, and ad-hoc support for incidents related to data warehouses, datasets and data pipelines.

·        Provides on-call support for data platforms, reporting assets, and ETL processes. 

·        Develops and implements data model designs, engaging less-experienced team members to grow their skills.

·        Build data models, using a variety of sources and target systems, growing a better understanding on enterprise architectural standards and designs.

·        Applies best practices and organizational standards of the Software Development Lifecycle, to ensure the production of high quality, reliable data assets.

·        Applies the organizational standards and laws governing use of sensitive data relating to Protected Health Information (PHI) and Personally Identifiable Information (PII).

·        Leads data cleansing and profiling to ensure accuracy and quality of information.

·        Participates in organizational Data Governance for data asset management.

·        Develops Continuous Integration and Continuous Development (CI/CD) pipelines under the guidance of more experienced team members.

·        Participates in enterprise-wide Agile ceremonies determining and recommending technical programming approaches and solutions to complex applications. 

·        Works independently capture, document and groom features and stories for Agile/scrum teams to maximize visibility and readiness for upcoming planning and execution.

·        Actively pursues opportunities to grow their business acumen and skills from more experienced team members.

·        Provides coaching to less experienced team members.

Qualifications:

·        Bachelor's Degree or equivalent

·        Preferred Master's Degree 5 years of relevant experience

·        5 to 10 years experience Required

Please respond with your updated resume, contact information