Senior Data Engineer

Opala; Poland; Remote; PLN 598,000 - 706,000; Full time

Job summary

A forward-thinking health-tech startup is looking for a Senior Data Engineer to design and maintain a data-hub and its integrations. Candidates should have extensive experience in building ETL processes and proficiency with relational and non-relational databases. This remote role offers a salary range of $163k-$192k along with comprehensive benefits including medical insurance, PTO, and a 401k plan.

Benefits

Medical, dental, vision insurance

16 days PTO

401k with stock options

Annual bonuses based on merit

Qualifications

• 7+ years relevant experience in Data Engineering.
• 5+ years building ETL/ELT processes.
• Experience with various database systems.
• 2+ years developing in a structured language like Python.

Responsibilities

• Develop and maintain ETL pipelines.
• Support all SDLC activities in accordance with best practices.
• Provide guidance to the data engineering team.
• Troubleshoot complex problems.

Skills

Building ETL/ELT processes

Data analysis

Relational databases

Non-relational databases

Structured programming languages

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

MySQL

Oracle

AWS

Azure

Job description

Overview

Opala delivers robust, secure solutions to tackle the most complex data challenges faced by healthcare’s payers and providers. As a startup originating from a major healthcare plan in the Northwest, we combine deep health-tech expertise with top-tier data and software engineering talent to create products that our customers find meaningful and valuable. These products empower payers and their partners to find timely insights and take action to intervene in areas like value-based care analytics, interoperability compliance, and real-time streaming of clinical data.

In this remote position, we are seeking a SeniorData Engineer with a strong background in various databases, processes, and tools to join our team. In this role, you will design, develop, deploy, and maintain our data-hub and associated integrations.

Responsibilities

• Performs development tasks to support ELT/ETL data movement, database development and data analysis.
• Builds end-to-end ETL pipelines populating data for various data-marts, warehouses, exports and reporting tools.
• Supports all SDLC activities in accordance with industry best practices, as well as the government\'s product lifecycle processes
• Researches and integrates design strategies, product specifications, development schedules, and user expectations into product capabilities
• Conducts investigations and tests of considerable complexity
• Participates in special projects as required.
• Provides guidance to the data engineering team with code reviews, support infrastructure/operations.
• Troubleshoots complex problems and provides customer support for software operating systems and application issues
• Maintains current knowledge of relevant technology as assigned

Minimum Qualifications

• 7+ years relevant experience
• Bachelors degree in Computer Science, Engineering, or other related technical discipline, or equivalent relevant work experience
• 5+ years building ETL/ELT processes
• 5+ years developing with relational and non-relational databases, such as MySQL, Postgres, Oracle, SQL Server, Mongo DB, DynamoDB, Cassandra
• 2+ years developing in a structured language (Python, Java, C#, etc..)
• Experience with the ingestion and egestion of data in a variety of formats including: CSV, JSON, XML and HL7.
• Advanced Knowledge of data structures, queries in both relational and non-relational databases.

Preferred Qualifications

• 2+ years building data flow processes in Databricks.
• Experience in integration projects with healthcare-specific standards (HL7, CCD, C-CDA, X12, FHIR, etc.)
• Experience with AWS and Azure storage/data platforms

Benefits

• The Seattle base salary range for this full-time position is $163k-$192k. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
• Benefits include medical, dental, vision, life and AD&D insurance, EAP, short-term and long-term disability, 16 days PTO, 8 paid holidays, fully paid holiday closure, parental and family medical leave, 401k, stock options and annual bonuses and salary increases based on merit.

Diversity and Inclusivity Statement

• At Opala, we believe that diversity and inclusivity are critical to our success. We encourage and value diverse perspectives and experiences, and we believe that they are essential for driving innovation and creating products that meet the needs of our diverse customer base.

Opala is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.

Application Questions

How many years of experience do you have in Data Engineering?

How many years of experience do you have in building ETL/ELT processes?

How many years of experience do you have developing with relational and non-relational databases?

How many years of experience do you have developing in a structured language, such as Python, C# or Java?

If you were to accept an offer with Opala, how soon could you start?

Are you currently authorized to work indefinitely in the US on a Full Time basis for any employer?

If yes, will you require visa sponsorship now or in the near future?

What prompted you to apply to this opening?

How many years of professional experience do you have with Databricks?