Top 10 Hadoop Jobs in Scarborough, Me

Analytics Engineer
Onpoint Health Data —Portland, ME
- Hybrid work
- Computer Science
- Research
- Mid-level
Big Data Engineer
RitePros —Portland, ME
- Computer Science
- 5 years
- DevOps
Manager Advanced Analytics
Ahold Delhaize USA —Scarborough, ME
- $108,880 - $187,800 a year
- Full-time
- Hybrid work
- 7 years
- Azure
- Computer Science
Data Engineer
RitePros —Portland, ME
- Azure
- Computer Science
- Research
Application Architect
RitePros —Portland, ME
- Azure
- Computer Science
- Office
Data Architect
RitePros —Portland, ME
- Azure
- Computer Science
- 5 years
Software Developer
RitePros —Portland, ME
- Azure
- Computer Science
- System design
Solution Architect
RitePros —Portland, ME
- Azure
- Management
- Computer Science

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Analytics Engineer

Onpoint Health Data -
Portland, ME

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Job Details

Qualifications

Research

Full Job Description

This is a hybrid role, with 3 in-office days required each week – Tuesday, Wednesday, Thursday.

JOIN OUR TEAM

Onpoint Health Data is a dynamic, fast growing nonprofit company committed to delivering independent, reliable, and insightful data solutions to clients nationwide. If you are a motivated self-starter looking for the opportunity to work with emerging technologies and a collaborative, energetic team, Onpoint would be a perfect fit. We offer a competitive compensation and benefits package, and a great office space conveniently located in Portland’s historic Old Port district.

OVERVIEW

This position is focused on efficiently transforming and prepping large datasets for Onpoint’s Analytics staff and clients. The Analytics Engineer plays a key role in designing and maintaining Onpoint’s most complex data transformation logic. The successful candidate will acquire a diverse set of skills in data management, leveraging tools such as SQL, Tableau, python, and many AWS Services to effectively cleanse and enhance hundreds of terabytes of healthcare data for Onpoint’s client base. The successful candidate in this role must be detail oriented and able to work on multiple projects at a time.

RESPONSIBILITIES

Use industry best practices to extract and transform data from data lakes using Spark SQL, python, and AWS services such as AWS Glue.
Contribute efforts to research, evaluate, recommend, and implement new products, tools, and software solutions.
Participate in analysis, design, development, and implementation of data solutions.
Collaborate on system architecture and data model development.
Make meaningful contributions to design sessions; gather and understand user requirements and assist with development and finalization of specifications.
Follow project specifications closely and clearly communicate progress and status.
Take an active role in maintaining existing data pipeline code base, troubleshooting issues, and optimizing code for performance.
Perform operational, production support, and maintenance tasks.
Contribute to end user technical training and documentation.

Understand the value that Onpoint places on maintaining the confidentiality and integrity of our corporate and client data and meet applicable privacy and security compliance requirements
Ensure that Onpoint and client data is accessed, handled, processed, transmitted, disclosed, and stored according to operational and IT policies and procedures
Immediately report any suspected or actual violation of privacy and security policies or unauthorized access or disclosure of Onpoint or client data
Understand that compliance with all privacy and security policies, laws, and regulations is part of each employee’s annual performance evaluation
Adhere to all policies and procedures as outlined in the Onpoint Health Data Employee Handbook
Perform all other duties as assigned

QUALIFICATIONS

A bachelor’s degree or higher in computer science or related field plus one (1) or more years in systems development or data engineering
Experience with SQL and python is preferred
Familiarity with HEDIS measures preferred
Familiarity with Hadoop, SparkSQL, Amazon EMR, Parquet, Amazon Athena, Amazon Redshfit not required, but desirable
Knowledge of performance tuning – analyzing log data and query tuning, partitioning, optimizing code
Experience with Unix or Linux environments preferred
Experience working with healthcare data preferred
Demonstrated ability to learn and work with new tools as system as business needs evolve
Experienced in diagnosing technical challenges by reading code and technical documentation
Ability to produce clear and concise technical documentation
Ability to work well independently and as part of a team
Strong problem solving and critical thinking skills
Excellent organizational, interpersonal, and time management skills

Onpoint Health Data is an equal opportunity employer and prohibits discrimination and harassment of any kind. We recruit, employ, train, compensate, and promote without regard to race, religion, creed, color, national origin, age, gender, gender identity, and/or expression, sexual orientation, marital status, disability, veteran status, or any other basis protected by applicable federal, state, or local law.

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hadoop jobs in scarborough, me

Analytics Engineer

Big Data Engineer

Manager Advanced Analytics

Data Engineer

Application Architect

Data Architect

Software Developer

Solution Architect

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