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Data Engineer II (Remote, US)

Remote - United States

                                             

              .               

Openly is rebuilding insurance from the ground up. We are re-envisioning and enhancing every aspect of the customer experience.  Doing this requires a rapidly growing team of exceptional, curious, empathetic people with a wide range of skill sets, spanning technology, data science, product, marketing, sales, service, claims handling, finance, etc.

Now is the perfect time to join Openly. Here’s why:

  • Established success, rapid expansion. Openly thrives in 24 states, powered by thousands of satisfied independent agents and policyholders, and continues to expand its reach across the country.
  • Strategic growth backed by leaders in innovation. Openly is supported by some of the world’s leading investors, including Google’s “Gradient” AI-focused fund, Allianz X, Eden Global Partners, Advance Venture Partners, Obvious Ventures, Clocktower Technology Ventures, and Point Judith Capital.
  • Help shape Openly’s future. With a strong foundation, Openly offers unparalleled opportunities to directly influence our trajectory and make a significant impact as we continue to scale and revolutionize the insurance industry.

If you’d like to understand more about Openly’s mission, consider checking out this video (https://vimeo.com/267654520) from a company pitch we gave several years ago at Techstars. 

Job Details 

We’re hiring a Data Engineer II to be a part of our data engineering team to build and enhance data solutions for Openly's insurance data platform. You will play a key role in how we build, manage, structure, store, and access data and data pipelines so we can provide high quality usable data to our insurance product and reporting data users.

Key Responsibilities 

  • Design, create, and maintain data solutions. This includes data pipelines and data structures.
  • Work with data users, data science, and business intelligence personnel, to create data solutions to be used in various projects.
  • Translating concepts to code to enhance our data management frameworks and services to strive towards providing a high quality data product to our data users.
  • Collaborate with our product, operations, and technology teams to develop and deploy new solutions related to data architecture and data pipelines to enable a best-in-class product for our data users.
  • Collaborating with teammates to derive design and solution decisions related to architecture, operations, deployment techniques, technologies, policies, processes, etc.
  • Participate in domain, stand ups, weekly 1:1's, team collaborations, and biweekly retros
  • Assist in educating others on different aspects of data (e.g. data management best practices, data pipelining best practices, SQL tuning)
  • Build and share your knowledge within the data engineer team and with others in the company (e.g. tech all-hands, tech learning hour, domain meetings, code sync meetings, etc.)

 

The tech stack

  • Backend/Core: Go & Postgresql 
  • Frontend: Browser-based, VueJS, Webpack, Nuxt &, Tailwind
  • Research/Data Science: R, ArcGIS, GCP Vertex A, Hex, & Python
  • Data: GCP GCS, BigQuery, Dataform, Composer/Airflow, Cloud Functions, Postgres, SQL, Python, Aiven Debezium and Kafka, Fivetran
  • Infrastructure: Google Cloud, specifically Cloud Run, Kubernetes, Pub/Sub, BigQuery, and CloudSQL, managed with Terraform. We use GitHub for code hosting, DataDog for monitoring, and CircleCI for running our CI/CD pipelines.
  • Remote work tools: Slack, Zoom, Donut

Requirements

  • 1 to 2 years of data engineering and data management experience.
  • Scripting skills in one or more of the following: Python.
  • Basic understanding and usage of a development and deployment lifecycle, automated code deployments (CI/CD), code repositories, and code management.
  • Experience with Google Cloud data store and data orchestration technologies and concepts.
  • Hands-on experience and understanding of the entire data pipeline architecture: Data replication tools, staging data, data transformation, data movement, and cloud based data platforms.
  • Understanding of a modern next generation data warehouse platform, such as the Lakehouse and multi-data layered warehouse.
  • Proficiency with SQL optimization and development.
  • Ability to understand data architecture and modeling as it relates to business goals and objectives.
  • Ability to gain an understanding of data requirements, translate them into source to target data mappings, and build a working solution.
  • Experience with terraform preferred but not required.

Compensation & Benefits: 

The target salary range represents the budgeted salary range for this position.  Actual compensation for this position will be determined based on the successful candidate's experience and skills. We are committed to providing a compensation package that not only reflects the responsibilities and requirements of the role, but also the unique expertise that the chosen candidate will bring to our team.

Target Salary Range

$108,000 - $121,500 USD

The full salary range shows the min to max salary range for this position.  Actual compensation will be commensurate with experience and qualifications and determined based on various factors including the candidate's qualifications, skills, and experience.

Full Salary Range

$108,000 - $162,000 USD

Benefits & Perks

  • Remote-First Culture - We supported #remotelife long before it was a given. We'll keep promoting it.
  • Competitive Salary & Equity
  • Comprehensive Medical, Dental, and Vision Plan Offerings
  • Life and disability coverage including voluntary options
  • Competitive PTO - 20 days and 11 paid holidays (including floating holidays)  per year under the Company’s vacation and holiday policies.
  • Parental Leave - up to 8 weeks (320 hours) of paid parental leave based on meeting eligibility requirements
    (Birthing parents may be eligible for additional leave through STD)
  • 401K Company Contribution - Openly contributes 3% of the employee's gross income, even if the employee does not contribute.
  • Work-from-home stipend - We provide a $1,500 allowance to spend on setting up your home workplace
  • Annual Professional Development Fund: Each employee has $2,000 in professional development (PD) funds to spend on activities or resources annually. We want each Openly employee to achieve personal and professional success and to feel supported, confident, and informed about improving their efficiency and productivity.
  • Be Well Program - Employees receive $50 per month to use towards your overall well-being
  • Paid Volunteer Service Hours
  • Referral Program and Reward

Depending on position, Employees generally are eligible for cash incentive compensation, including commissions for sales eligible roles. In all cases, eligibility for compensation and benefits is subject to applicable plan and policy terms in effect from time to time.

U.S. Citizens, Green Card Holders, and those authorized to work in the U.S. for any employer and currently residing in the US will be considered.

Openly is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Openly is an E-Verify Employer in the United States. Openly will make reasonable accommodations for qualified individuals with known disabilities under applicable law.

 

We strive to provide an exceptional applicant and candidate journey when you engage with us. In an effort to respond to applicants in a timely manner, we leverage AI to organize applications and resumes based on required and applicable skills and experience. To allow our applicants to drive their initial interview experience with us, we may leverage an AI-supported scheduling tool so you can choose when to meet with our team. While AI assists with efficiency, all hiring decisions are made by our team members. Rest assured, your data is protected according to privacy laws and company policies. Contact our recruitment team with any questions about our AI-assisted hiring process.

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