Data Engineer

A data engineer is responsible for building systems that collect, manage, and convert raw data into usable information to fulfill business needs., * Design, develop, and maintain optimal data pipelines leveraging open source tools and data processing frameworks that align with business requirements.

• Identify, design, and implement internal process improvements.
• Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources using (R)DBMS and Cloud technologies.
• Maintain various codebases for tools and services used by other stakeholders.
• Create analytics tools and visualizations such as dashboards and reports that provide actionable insights to stakeholders.
• Work with internal and external stakeholders to assist with data-related technical issues and support their data infrastructure needs.
• Ensure compliance with data governance and security policies.
• Proactively improve encountered modules, services, systems and codebases.
• Improve documentation in wikis and internal knowledge bases that is insufficient or incorrect and proactively raise spotted issues. This includes issue status tracking and documenting the resolution for future use.
• Apply software development practices related to testing, style, readability, compilation, continuous integration, and continuous deployment.
• Participate in reverse engineering of various data formats, often at the binary level.

• Proficient in multiple object-oriented and procedural programming languages.
• Experience with Relational and non-relational databases. Desired experience includes advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), data modeling, and common database interfaces (e.g. ODBC).
• Strong analytic skills related to working with structured and unstructured datasets.
• Experience with ETL (extract, transform, and load) systems.
• Experience building and optimizing data pipelines, architectures and data sets.
• Experience with data stored in various formats and locations.
• Experience with automation and scripting.
• Experience leveraging relevant open source and internal development and data-related tools.
• Experience with cloud computing and storage.
• Strong understanding of methods of securely managing and storing data to protect it.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Experience with version control systems and code reviews. Desired experience also CI/CD pipelines.

This is an entry-level position. We’re looking for someone with 1-3 years of experience in data engineering or software development with a general purpose programming language, has a BS degree in computer science or a similar area., * Bachelor’s (Preferred)

4.34.3 out of 5 stars Chicago, IL Remote $80,000 - $85,000 a year - Full-time, Pulled from the full job description

• Professional development assistance
• 401(k)
• Health insurance
• 401(k) matching
• Paid time off
• Vision insurance
• Dental insurance, * 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible spending account
• Health insurance
• Life insurance
• Paid time off
• Professional development assistance
• Vision insurance

Two Point Conversions, Inc. is a leading global healthcare data company with over 30 years of experience helping migrate data for thousands of pharmacies and hospitals. Join a company that is just as employee-focused as it is on its customers. Be the reason we help thousands of stores convert their health care and pharmacy data seamlessly.