35 Data Engineer 1 Jobs in Philadelphia, PA
Elder Research is Hiring a Data Engineer 1 Near Philadelphia, PA
Hybrid, Remote, Travel RequiredElder Research, Inc. (ERI) is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. The Commercial business unit is seeking to hire a Senior Data Engineer with strong engineering skills who will provide technical support across multiple project teams by leading, designing, and implementing the software and data architectures necessary to deliver analytics to our clients, as well as providing consulting and training support to client teams in the areas of architecture, data engineering, ML engineering and/or related areas. We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients’ environment and needs.
We are looking to hire a Senior Data Engineer who can support robust and repeatable data manipulation, large-scale infrastructure for data ingestion, and data visualization for custom client applications. A Senior Data Engineer works collaboratively with Business Analysts, Data Scientists, Data Analysts, other Software/Data Engineers, and business stakeholders to create and deploy dynamic data applications that help our customers make meaningful business decisions.
Some of your responsibilities will include leading and implementing software engineering best practices, mentoring junior engineers, designing software architectures, wrangling and fusing large and disparate data sets, assisting in the deployment of models and algorithms, automating data pipelines in their entirety, and communicating model results through user-focused data visualizations. Candidates should have the ability and the willingness to tailor applications to a clients’ business goals using an iterative methodology. Candidates should also be able to consider both long-term stability and scalability while taking a user-focused approach to development and deployment. Excellent decision making skills are a must.
Desired SkillsCandidates should have a mix of the following experiences:
- Set or contributed to data engineering and governance standards
- Reviewed code/design/architecture and coached on adjustments (as needed)
- Mentored junior engineers
- Designed and implemented software architectures
- Implemented a data pipeline that includes data transformations such as aggregations, joins, and cleaning.
- Ingested data into SQL or NoSQL databases.
- Interacted with SQL or NoSQL databases via Python, Java, or similar.
- Provided access to transformed data for downstream applications or visualizations via REST APIs or similar.
- Worked with visualization software such as Power BI, Tableau, or similar.
- Skilled in both applying and teaching others to apply Git (or other distributed version control) for collaboration, record-keeping, and deployment scenarios
- Skilled in both using and guiding others in using cloud platforms (AWS, Azure, Google Cloud) for building, deploying, evolving, and maintaining data pipelines
- Skilled in both applying and guiding others in applying continuous integration and continuous deployment (CI/CD) techniques for surfacing situations where new work breaks existing functionality
- Had exposure to modeling and/or data analysis.
- Configured a technical service such as a database, version control system, or operating system.
- Led and collaborated with others to accomplish a technical task.
- Partnered on the development or deployment of a data strategy
- Presented technical work to a non-technical audience via writing or presentation.
- Education:
- Master’s in a technical field and 4-5 years’ experience OR
- Bachelor’s and 6 years’ experience
- Certifications:
- AWS, Azure, or Google Cloud
- Bachelors/Master’s degree in Computer Science or related field requiring software development
- 4 years’ of professional experience with Python, Java, or similar
- Excellent written and verbal communication skills
- Ability to parse project requirements, including asking questions to ensure full and correct understanding
- Willingness and ability to learn new concepts and tools quickly
- Willingness and ability to provide technical support across multiple projects
- Work on small teams in a highly collaborative environment.
- Participate in both existing and new projects.
- Contribute to consulting projects to solve interesting problems for multiple clients in various industries.
- Communicate details of the technical architecture to fellow team members and clients in both technical and non-technical terms.
- Work with Data Scientists to design and/or implement the technical architecture necessary to support analytics.
- Work with Software/Data Engineers to improve the robustness and scalability of software products.
- Participate in every stage of the engineering lifecycle, from ideation and requirements gathering through implementation, testing, deployment, and maintenance.
- Work on documentation of the technical architecture for internal and client use.
- Design, create, and provision data stores.
- Build trusted and lasting relationships with clients.
- Provide value to our clients through analytics, software tools, and leadership.
- Manage and monitor pipelines to extract, transform, and load data (ETL).
ERI believes in continuous learning; each week the entire company attends a “Tech Talk” and an office lunch. Individuals often share what they have learned at informal bag lunch talks or afternoon chats. ERI provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and flexible time off - ERI enables and encourages its employees to serve others.
ERI provides analytic solutions to hundreds of companies across numerous industries. Our team enjoys great variety in the type of work we do and exposure to a wide range of techniques and tools. If you are passionate about integrating data, technology, and analytics in a team-based environment to solve problems, then ERI may be a good fit for you.
Job Summary
Full Time
Business Services
$95k-122k (estimate)
05/13/2024
11/06/2024
elderresearch.com
CHARLOTTESVILLE, VA
50 - 100
1995
Private
JOHN ELDER
$5M - $10M
Business Services
Related Companies
About Elder Research
Elder Research specializes in data science, text mining, data visualization, scientific software engineering and technical teaching.
The job skills required for Data Engineer 1 include SQL, Python, Data Engineering, AWS, Computer Science, Azure, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer 1. 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 1. Select any job title you are interested in and start to search job requirements.
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