70 Senior Data Engineer Jobs in Vancouver, WA
BABYLIST is Hiring a Senior Data Engineer Near Vancouver, WA
Our Ways of WorkingWe have team members located across the United States spanning multiple time zones. This means we put in extra effort to make sure we connect and collaborate in ways that make sense for us. We know how valuable the flexibility of remote work is for our employees.
We know that personal connection is the foundation for the great work we do together. In order to build those relationships with team members in other cities, we meet with coworkers in person two times a year at a full company offsite and a departmental offsite. These offsites are expected of employees and are great opportunities to meet the people you work with every day and to do some of the work that is much more difficult to do virtually.
Our Tech Stack
- Data Platform: Snowflake
- Data Orchestration: Airflow, dbt, Stitch
- ML & Data Science: SageMaker, Hex
- Cloud Infrastructure: AWS (EC2, S3, Lambda, EKS)
- Data Quality: Monte Carlo
- BI: Sigma
You are a dedicated professional with a passion for data engineering, data architecture, and DevOps, who enjoys building systems that are both robust and scalable. You will play a critical role in our growing Data Engineering team, working cross-functionally with product managers, analysts, data scientists, and various business functions to deliver data solutions that drive product growth and innovation at Babylist.
Who You Are
- 7 years of hands-on experience in data engineering, with a strong focus on production-grade coding (preferably in Python)
- Proficient with data orchestration tools like Airflow and dbt, with a solid understanding of data modeling and ETL principles
- Experienced in managing and deploying cloud data resources within the AWS ecosystem (EC2, S3, Lambda, EKS)
- Familiar with modern data warehousing systems, such as Snowflake, and comfortable with deploying and maintaining Machine Learning models in a production environment
- A proactive problem-solver with a strong focus on delivering high-quality solutions
- Experience in supporting data modeling initiatives and collaborating closely with Analytics Engineers
- Familiarity with data observability platforms like Monte Carlo for ensuring data integrity across our platforms
- Build and optimize data pipelines for seamless data ingestion into our data warehouse, with a focus on scalability and performance
- Develop and maintain ML pipelines, supporting our data scientists to operationalize models and integrate them with our data infrastructure
- Enhance and scale our data systems, ensuring they meet the evolving needs of our business
- Collaborate with Analytics Engineers (AEs) to support data modeling and ensure the integrity and reliability of our data assets
- Implement and improve data monitoring tools to cover complex user journeys across multiple systems
- Partner with internal teams and external stakeholders to deliver end-to-end data solutions, from data ingestion to advanced analytics
- We invest in the infrastructure you'll need to be supported and successful: tools, opportunities to connect with colleagues, and a stipend to help you set up your office
- We build products that have a positive impact on millions of people's lives
- We work at a sustainable pace which means work/life balance is a real thing here
- We believe technology and data can solve hard problems
- We believe in exceptional management
- We are an antiracist organization and doing the work to support differences of all kinds
- We offer competitive pay and meaningful opportunities for career advancement
- We have great benefits like company paid medical, dental, and vision and a generous paid parental leave policy
- We care about employee wellbeing with perks for physical, mental and emotional health, parenting, childcare, and financial planning
The estimated pay range for this role is CAD $ 180,000.00 - $224,100.00
In addition, Babylist offers equity, bonus, and benefits, including company paid health, dental and vision insurance, flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies.
IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All of our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@babylist.com), instant messaging platforms or unsolicited calls.#bi-remote
Job Summary
Full Time
Retail
$120k-147k (estimate)
08/26/2024
10/24/2024
babylist.com
OAKLAND, CA
50 - 100
2011
Private
GORDON NATALIE
$50M - $200M
Retail
Related Companies
The job skills required for Senior Data Engineer include Python, Data Engineering, AWS, Data Warehouse, Machine Learning, Data Science, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Engineer job description and responsibilities
The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
03/09/2022: Billings, MT
The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.
01/05/2022: Melbourne, FL
Create architecture for real-time, big data applications with minimal maintenance effort.
03/23/2022: Benton Harbor, MI
Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.
01/22/2022: Greenville, MS
Provides successful deployment and provisioning of data solutions to production or other required environments.
01/12/2022: Dothan, AL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
02/06/2022: Providence, RI
Earn a bachelor’s degree related to data engineering and begin working on projects.
02/16/2022: Denver, CO
Consider pursuing additional professional engineering or big data certifications.
03/06/2022: Raleigh, NC
Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
01/24/2022: Abilene, TX
Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
01/02/2022: New York, NY
Step 3: View the best colleges and universities for Senior Data Engineer.
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