A natural match if you have experience building end-to-end data pipelines with AI tools.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Sharkninjaoperatingllc via Greenhouse
About Us
SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.
AI at SharkNinja
At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in.
Senior Analytics Engineer
Location: Needham, MA or Remote US
Role summary
This role owns data products end to end: onboarding a new source, orchestrating it, modeling it, and delivering something a business team can act on.
You'll need strong SQL and hands-on Python coding experience, along with solid working knowledge of Snowflake, dbt Cloud, and an orchestrator like Dagster or Airflow. We work in an AI-assisted environment and expect this role to use AI coding tools daily, without lowering the bar on correctness or governance.
What you'll do
Onboarding new data sources
Onboard new sources end to end: vendor REST APIs, SFTP and S3 file drops, on-prem file shares
Handle pagination, rate limits, retries, and incremental extracts
Design connection auth: key-pair, token rotation, environment-variable contracts
Actively work with vendors and source owners on access, file cadence, and schema changes
Reliable, scalable pipelines
Lead orchestration pipeline orchestration: schedules, backfills, and various checks and tests
Account for partitioned incremental loads, deliberate concurrency
Build idempotent loads with an explicit merge grain, so a failed run is fixed by re-running it
Own alerting, triage, and root cause on failed runs
Keep warehouse sizing and query cost in check
Testing and standards
Write Python tests, dbt tests, keep CI green
Set the standards: module structure, config and secrets, and what a pipeline needs before it ships
Write them down and enforce them in code review
Modeling and analytics
Build and maintain dbt Cloud models on Snowflake, from staging through marts, with tests and docs, following repo standards
Write reusable dbt macros with Jinja to keep models DRY and consistent
AI-assisted development
Use the available AI tools for dbt models, SQL refactoring, scaffolding, and docs
Review and test everything they produce
Document how the team should use these tools, and what not to hand them
Team practices
Git and code review, mentoring junior engineers, and following our dependency and data governance policies
What we're looking for
Expert SQL and deep familiarity with Snowflake
Real depth in ETL/ELT and data modeling, with dbt Cloud experience
Hands-on with Dagster or Airflow, including partitioning and backfills
Pipelines you designed that kept working as volume grew
Third-party APIs and file feeds pulled into a warehouse, plus the auth and secret management around them
Owned pipeline reliability in production: alerting, triage, and follow-through after an incident
Set or raised engineering standards on a team, in writing, and made them stick
Used AI coding assistants in a real production workflow, with judgment about where they help and where they cause trouble. Having written the guardrails for a team is a plus
Clear communication with non-engineers, vendors and stakeholders
Education and experience:
Bachelor’s degree in Computer Science, Data Science, Engineering, or related field, or equivalent practical experience.
Advanced degrees or professional certifications related to data engineering are preferred
3-5 years of experience in data engineering and analytics
Salary and Other Compensation: The annual salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, AD&D, short-term disability insurance, long-term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre-paid legal insurance, back-up child and eldercare days, product discounts, referral bonus program, and more.
Pay Range$116,300—$155,000 USD
Our Culture
At SharkNinja, we don’t just raise the bar—we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you’ll be right at home.
What We Offer
We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what’s possible. When you join, you’re not just part of a company—you’re part of an outrageously extraordinary community. Together, we won’t just launch products—we’ll disrupt entire markets.
At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja’s innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA.
Learn more about us:
Life At SharkNinja
Outrageously Extraordinary
SharkNinja Candidate Privacy Notice
For candidates based in all regions, please refer to this Candidate Privacy Notice.
For candidates based in China, please refer to this Candidate Privacy Notice.
For candidates based in Vietnam, please refer to this Candidate Privacy Notice.
We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at accommodations@sharkninja.com