8 Data Engineer Jobs in King of Prussia, PA
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Greenphire is Hiring a Data Engineer Near King of Prussia, PA
Who We AreGreenphire 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
Job Summary
Full Time
IT Outsourcing & Consulting
$121k-148k (estimate)
05/24/2024
06/05/2024
greenphire.com
KING OF PRUSSIA, PA
200 - 500
2008
Private
JIM MURPHY
$10M - $50M
IT Outsourcing & Consulting
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About Greenphire
Greenphire is a Pennsylvania-based SaaS platform that provides clinical trial payment automation, budgeting and related solutions for the healthcare industry.
The job skills required for Data Engineer include SQL, Python, AWS, Computer Science, Insight, Data Modeling, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Oil changes are an essential component of preventative maintenance.
02/26/2022: Newark, NJ
A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
03/09/2022: Saginaw, MI
Step 3: View the best colleges and universities for Data Engineer.
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