Data Engineer
Job Posting for Data Engineer at Greenphire
We know why you are reading about this opportunity. You are driven to achieve goals. You are looking to make a direct impact. You want to work in a culture where your co-workers work as part of a diverse team, communicate across departments, and have a positive attitude. If we had to guess, you are innovative with great ideas, want to bring efficiencies to processes, and are looking to grow your career. Are we right? If so, let’s talk about who we are.
Who We Are
Greenphire is a leading provider of clinical payment and communication solutions. We provide software as a service (SaaS) to reduce costs, increase participant retention, and produce quantifiable results for our clients in the clinical trial industry. Our vibrant culture focuses on four key values: All In, As a Team, For a Purpose, Solving Problems.We are a multi-year recipient of the Philadelphia Business Journal’s Best Places to Work award, and love to give shout-outs and awards to our employees. Our For A Purpose committee champions philanthropic activities throughout the year so employees can give back to our community. We have a diversity committee that focuses on breaking down barriers, recognizing that our uniqueness is what makes us so successful!
We’re looking for a Data Engineer to join us on Greenphire’s Data Services team. The Data Services team is responsible for supporting application reporting, providing data-driven products, building a best-in-class self-service data and analytics platform, and enabling ML/AI use cases. This is a tremendous opportunity to work in a high growth company crossing fintech and life science where data is a key driver for the future.
In this role, you will be responsible for retrieving data from various data systems, processing and integrating that data, scrubbing data, formatting it for consumption and delivering it to consumers. You will be working with data stored in systems that include RDBMSs, streams, queues, file stores, and APIs. You will process data using Python and SQL using libraries and frameworks such as Pandas, Spark AWS Lambda, AWS Glue, etc. You will support existing data solutions and will be tasked both with extending existing and developing new solutions. Working with Business Analysts and Product Managers and other engineers you will analyze requirements and issues and develop solutions to them.
In order to be successful in this position you will need to be comfortable working collaboratively within a fast paced environment that presents a variety of technical and business challenges. We are an Agile organization that strives to adhere to DevOps principles, which means that team members are empowered to innovate while being accountable for the solutions they provide. This includes providing production support and, as needed, being on-call.
Responsibilities
Who We Are
Greenphire is a leading provider of clinical payment and communication solutions. We provide software as a service (SaaS) to reduce costs, increase participant retention, and produce quantifiable results for our clients in the clinical trial industry. Our vibrant culture focuses on four key values: All In, As a Team, For a Purpose, Solving Problems.We are a multi-year recipient of the Philadelphia Business Journal’s Best Places to Work award, and love to give shout-outs and awards to our employees. Our For A Purpose committee champions philanthropic activities throughout the year so employees can give back to our community. We have a diversity committee that focuses on breaking down barriers, recognizing that our uniqueness is what makes us so successful!
We’re looking for a Data Engineer to join us on Greenphire’s Data Services team. The Data Services team is responsible for supporting application reporting, providing data-driven products, building a best-in-class self-service data and analytics platform, and enabling ML/AI use cases. This is a tremendous opportunity to work in a high growth company crossing fintech and life science where data is a key driver for the future.
In this role, you will be responsible for retrieving data from various data systems, processing and integrating that data, scrubbing data, formatting it for consumption and delivering it to consumers. You will be working with data stored in systems that include RDBMSs, streams, queues, file stores, and APIs. You will process data using Python and SQL using libraries and frameworks such as Pandas, Spark AWS Lambda, AWS Glue, etc. You will support existing data solutions and will be tasked both with extending existing and developing new solutions. Working with Business Analysts and Product Managers and other engineers you will analyze requirements and issues and develop solutions to them.
In order to be successful in this position you will need to be comfortable working collaboratively within a fast paced environment that presents a variety of technical and business challenges. We are an Agile organization that strives to adhere to DevOps principles, which means that team members are empowered to innovate while being accountable for the solutions they provide. This includes providing production support and, as needed, being on-call.
Responsibilities
- Working with other members of the team, translate business requirements into data access plan
- Analyze and organize raw data in various tabular and semi-structured formats
- Design and build data processing pipelines to meet business requirements
- Combine raw information from different sources
- Explore ways to enhance data quality and reliability
- Assembling large, complex sets of data that meet non-functional and functional business requirements
- Participate in the design and implementation of infrastructure that supports data system needs
- Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
- Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
- Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
- BS/BA in technical field, Computer Science, Mathematics or relevant work experience and/or training
- Strong SQL development skills
- SQL query writing
- Performance tuning
- Understanding of data warehousing design concepts and data modeling
- Experience applying OOP concepts to data applications
- Experience programming in Python
- Experience with distributed data processing tools such as Apache Spark
- Experience in data analysis
- Experience with visualization tools (e.g. Power BI, Qlik, Tableau)
- Experience with API development is a plus
- Excellent verbal and written communication skills
- A keen attention to detail
- A collaborative mindset
- Ability to learn as you go
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Job openings at Greenphire
Greenphire
King of Prussia, PA
Full Time
Greenphire
King of Prussia, PA
Full Time
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