Data Software Engineer

Compensation

: $108,680.00 - $159,340.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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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. The Enterprise Data Analytics Platform builds highly performant scalable analytics solutions varying from data storage systems to computation and serving solutions. We utilize a plethora of open source and industry accepted technologies for our big data problems such as Apache Spark, Apache Storm, Amazon Web services, and Apache Kafka.
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.
This role is scoped as an individual contributor.
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
-
Basic Qualifications:
Bachelor---s 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.
Preferred Qualifications:
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
Experience with source control systems, Git preferred
Must be able to quickly grasp the platform/application overarching design and ensure development is executed in accordance with the present design
Ability to drive change through persuasion and consensus
Experience in Financial/Insurance industrial
- provided by Dice
Associated topics: .net, algorithm, c++, developer, java, perl, python, software developer, software development engineer, software programmer * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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