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Data Engineer

, CT, United States

Job Title: Data Software Engineer

Location: Hartford, Connecticut

Salary: $95,000 - $135,000 + benefits

The Company

A financial services and insurance company providing a range of financial products and services, including life insurance, retirement planning, investment management, and other financial solutions. Their primary focus is on life insurance and related financial products, helping individuals and families with protection and planning for their financial futures.

Job Details

Our Enterprise Data Analytics Platform (EDAP) is designed to explore and extract insights that our customers depend upon. Being the primary source for analytics, our customers both internal and external depend upon us to provide accurate, real-time, and fault tolerant solutions to their ever-growing data needs.

We are looking for a skilled Software Engineer with an eye for building and optimizing distributed systems to join our team. From data ingestion, processing and storage, to serving and scale, we work closely with other engineers and product management to build consistent and highly available systems that tackle real world data and scale problems.

Responsibilities:

Focus on the development of cloud computing infrastructure, and help build, distribute, scale and optimize these technologies

Designs and implements cloud scale distributed data-focused Data Analytics Platform, services and frameworks including solutions to address high-volume and complex data collection, processing, transformation and reporting for analytical purposes

Writes code and unit tests, works on API specs, automation, and conducts code reviews and testing

Develop scalable, robust, and highly available services related to our data platform

Implement new features and optimize existing ones to drive maximum performance

Owns technical aspects of software development and identifies opportunities to adopt innovative technologies.

Identifies continuous improvements for service availability

Evaluates and recommends tools, technologies and processes to ensure that the services that the team provides achieve the highest standards of quality and performance

Debugs and troubleshoots problems in data flow, lineage, transformation and other stages of the ETL pipelines.

Collaborates with other peer organizations (e.g., Business Analyst, Data Modeler, QA, SRE, technical support, etc.) to prevent and resolve technical issues and provide technical guidance.

Work in Agile development environment. Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers

Required Skills and Experience

Bachelors degree

5 years of meaningful experience

A strong level of curiosity paired with the ability to get things done.

Strong algorithms, data structures, and coding background.

Experience with software engineering standard methodologies (e.g. unit testing, code reviews, design document)

Java or Scala or other programming experience

Strong in SQL

Experience building products using 1 of the following distributed technologies:

** Relational Stores (i.e Postgres or MySQL or Oracle)

** Columnar or NoSQL Stores (i.e Vertica or Redshift or Cassandra or DynamoDB)

** Distributed Processing Engines (i.e Apache Spark or Apache Storm or Celery)

** Distributed Queues (i.e Apache Kafka or Kinesis or RabbitMQ)

Has worked with systems processing large amounts of data

Has worked with partner data scientist, data analysts and other domain experts to understand their needs and be able to develop solutions

Experience working with AWS or similar cloud platform technologies

Authorized to work in the United States with or without sponsorship.

Bonus Points For

Bachelor's degree in Computer Science preferred

8 years of meaningful development, experience is preferred

Knowledge of open source/industry standard data processing, storage, and serving technologies.

Ability to take proactive, problem-solving/troubleshooting approach to identifying the root cause of issues and solving problems

Working with Data Warehousing is a plus

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