Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 14 hours ago

Sr Data Engineer

Flexstaf IT110 open roles

Where
Irvine, California, United States
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSr Data EngineerFlexstaf IT · Irvine, California, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Flexstaf IT's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Flexstaf IT postings stay open a median of 1 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: first seen 14 hours ago

Flexstaf IT median: 1 days open

The posting

Job Title: Sr Data Engineer

Location: Irvine, CA (3 days work from office per week)

Duration: CTH

Purpose of the job:

The Senior Data Engineer will be part of a team designing and implementing our modern data platform to support enterprise-wide analytics, integration, and AI/ML initiatives. Together, the team will build a scalable enterprise data warehouse, enable modern visualization tools, and advance self-service analytics capabilities for business users.

Major Duties and Responsibilities:

Data Engineering & Pipeline Development – Design, build, and maintain scalable data pipelines and workflows in Snowflake, leveraging dbt for modular transformations and Fivetran for automated ingestion.

Enterprise Data Warehouse & Modeling – Architect and optimize the enterprise data warehouse, applying best practices in data modeling, performance tuning, and scalability to support enterprise-wide analytics.

Data Governance & Quality – Partner with governance teams to document cataloging, lineage, and stewardship, while ensuring data quality, security, and compliance.

Collaboration & Business Enablement – Work closely with business and analytics teams to translate requirements into scalable data solutions.

Cloud Integration & Infrastructure – Utilize AWS services (primarily S3) for data storage and integration, ensuring reliability, performance, and cost-effectiveness.

Education and Experience:

Required:

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field.

5+ years of professional experience in data engineering or related roles.

Proven expertise with Snowflake for data pipelines, development, and optimization.

Strong experience with dbt for modular transformations and Fivetran for automated ingestion.

Solid background in data warehousing, dimensional modeling, and performance tuning.

Hands-on experience with AWS cloud services (especially S3) for data integration and storage.

Familiarity with data governance tools (Alation or Atlan) for cataloging, lineage, and stewardship.

Proficiency in SQL and comfort with scripting languages such as Python.

Preferred:

Master's degree in a related field.

Experience with real-time/streaming technologies (e.g., Kafka, Kinesis, Flink).

Knowledge of data security, compliance, and access control best practices.

Exposure to AI/ML workflows and integrating data engineering solutions with ML pipelines.

Background in modern visualization platforms (Power BI, Tableau, Looker) to support self-service analytics.

Demonstrated ability to A39mentor junior engineers and contribute to engineering best practices.

Knowledge and skill level:

Snowflake (Expert) – deep expertise in data pipelines, query optimization, and enterprise-scale implementation.

dbt (Advanced) – strong ability to design modular, reusable transformations and maintain version-controlled models.

Fivetran (Advanced) – hands-on skill in managing ingestion pipelines and troubleshooting data connectors.

Data Warehousing & Data Modeling (Advanced) – proficiency in dimensional modeling, star/snowflake schemas, and performance tuning.

AWS Cloud (Intermediate) – working knowledge of S3 for storage and integration; familiarity with broader AWS data services a plus.

Data Governance (Intermediate) – understanding of metadata management, lineage, and cataloging.

SQL (Expert) – strong command of writing complex queries and optimizing performance.

Python (Intermediate) – ability to script automation, testing, and lightweight data transformations.

Collaboration & Communication – skilled in working with cross-functional teams and translating technical concepts to business stakeholders.

Emerging Tech & AI – awareness of how AI/ML can accelerate data engineering practices; willingness to experiment and learn.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Flexstaf IT's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Flexstaf IT's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Flexstaf IT's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.