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Job Id : 13811

Jobtitle : Database Engineer

Location : New York City, NY

Company Name : Progyny, Inc.

Industry : Information Technology

Salary : $45,000 - $120,000  PER YEAR

Job type : Fulltime

Posted on: 2020-05-22

Required Skills : Non-SQL Data Sources: Such As JSON, MongoDB, And Consuming Data From APIs,Python, Java, C++

Benefits : Medical Insurance,Dental Insurance,Vision Insurance,401K,Life Insurance

Job Description :


Responsibility :



  • Design, develop and implement data solutions. This may include: architecture design, prototyping of concepts to proof of concept, development of standards, design and development of test plans, code and module design, development and testing, data solution debugging, design and implementation of a solution that follows efficient design techniques and development that meets and exceeds the intent of the design of the data solution.
  • Develop, construct, test and maintain optimal data pipeline architecture
  • Support and maintain data and database systems to meet business delivery specifications and needs.
  • Partner with a team of developers to effectively meet the deliverables and schedule of a data solution component within a larger application project.
  • Lend support to various business and technology teams as necessary to ensure solid, scalable, robust solutions.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using MySQL, Python and ETL Tools
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Prepare data for predictive analysis & use data to discover tasks that can be automated
  • Partner with internal stakeholders including the BI & Finance teams to assist with data-related technical issues and support their data infrastructure needs.

Required :


  • 3-5 years of experience in a Data Engineer role
  • Degree in Computer Science, Statistics, Information Systems or equivalent field
  • Advanced working SQL knowledge and experience working with relational databases
  • Proven experience with Data Transformations & Integrity testing by using test-driven development methodologies.
  • Demonstrated experience with EXPLAIN, indexing and query optimizations
  • Prior experience with object-oriented/object function scripting languages: Python, Java, C++
  • Prior experience with Amazon AWS RDS & Aurora
  • Working knowledge of with Docker, Git & SDLC Methodologies
  • Knowledge of Salesforce Data APIs and SOQL
  • Experience building (or redesigning) and optimizing data pipelines, architectures and data sets.
  • Knowledge of non-SQL data sources: such as JSON, MongoDB, and consuming data from APIs
  • Prior experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Proven experience building processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Demonstrated experience with data security, encryption, HIPAA


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