Data Engineer II (Remote, US)

Openly; United States; Remote; USD 108,000 - 122,000; Full time

Job summary

An innovative company is seeking a Data Engineer II to join their dynamic team focused on revolutionizing the insurance industry. This role offers the opportunity to design and maintain data solutions that enhance the customer experience and support a rapidly growing data platform. You will work closely with cross-functional teams to build, manage, and optimize data pipelines, ensuring high-quality data for various applications. With a remote-first culture and a commitment to professional development, this position is perfect for those looking to make a significant impact in a forward-thinking environment.

Benefits

Remote-First Culture

Competitive Salary & Equity

Comprehensive Medical, Dental, and Vision Plan

Life and disability coverage

Competitive PTO - 20 days and 11 paid holidays

Parental Leave - up to 8 weeks

401K Company Contribution

Work-from-home stipend

Annual Professional Development Fund

Be Well Program

Qualifications

• 1-2 years of experience in data engineering and management.
• Proficient in Python and SQL with a strong understanding of data pipelines.

Responsibilities

• Design and maintain data solutions including pipelines and structures.
• Collaborate with teams to develop and deploy data architecture solutions.

Skills

Data Engineering

Python

SQL Optimization

Data Management

Data Pipeline Architecture

Education

Bachelor's degree in Computer Science or related field

Tools

Google Cloud Platform (GCP)

BigQuery

Terraform

Dataform

Composer/Airflow

Postgres

Kafka

Fivetran

Job description

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.

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

• 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.

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.

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

• 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.
• 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.
• Be Well Program - Employees receive $50 per month to use towards your overall well-being.
• Referral Program and Reward.

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.

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