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

Open nowPosted today

Lead Data Engineer - Technology Data Product

KeyBank564 open roles

Where
Brooklyn, OH
Get the CV for this job

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

Your applicationOpen nowLead Data Engineer - Technology Data ProductKeyBank · Brooklyn, OH

  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 KeyBank'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.

9.8% of postings close within 7 days. Measured by our own scanner across the market. KeyBank postings stay open a median of 6 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.8%7 days
  4. 15.5%14 days
  5. 33.8%30 days
This job: posted today

KeyBank median: 6 days open

The posting

Location:

4910 Tiedeman Road, Brooklyn Ohio

Job Summary We are seeking a Lead Data Engineer to support the design, implementation, maintenance, and lifecycle of enterprise data products starting with our DevOps Data Product transforming technology, operational, and business data into trusted, governed, and reusable insights.

In this hands-on technical leadership role, you will partner with Data Product Owners, data modelers, data architects, platform engineers, technology teams, and business stakeholders to develop scalable data pipelines, reusable data models, cloud-native services, and deployment automation on Google Cloud Platform.

This is a strong fit for someone who enjoys solving complex data and platform problems, improving data quality and reliability, reducing friction in the data delivery and pipeline lifecycle, and building standardized solutions that encourage broad adoption. The role offers the opportunity to influence data engineering standards, strengthen platform capabilities, and help shape a delivery ecosystem built for speed, quality, governance, and resilience.

Essential Functions

  • Data Pipeline Engineering: Design, build, and support production batch and incremental pipelines using Python, SQL, and Cloud Composer to collect and process data and telemetry from enterprise tools and source systems.
  • BigQuery Engineering & Optimization: Implement and maintain BigQuery datasets, tables, views, and transformation workloads. Optimize partitioning, clustering, query performance, access, storage, and compute costs.
  • Data Transformation & Testing: Write and deploy automated transformation workflows and data quality checks using Dataform.
  • CI/CD & Infrastructure as Code: Create and maintain repeatable Terraform configurations and GitLab CI/CD pipelines to automate testing, credential handling, and environment deployments across development, test, and production.
  • System Integration & Security: Build secure integrations with enterprise APIs and source systems using appropriate authentication and credential management, incorporating retry, error handling, and rate-limiting patterns.
  • Data Quality & Reliability: Configure pipeline monitoring, alerting, schema validation, and reconciliation jobs.
  • Data Product Delivery: Partner with the Data Product Owner, data modelers, architects, and platform teams to translate product requirements, metric definitions, data-quality expectations, and governance requirements into reliable technical solutions.
  • Documentation & Governance: Maintain technical documentation, lineage, data contracts, implementation guides, and evidence needed to support governance and audit requirements.
  • Technical Mentorship & Standards: Conduct code reviews, establish reusable coding templates, and mentor team engineers on best practices for data engineering and version control.

Required Technical Skills

  • SQL & BigQuery: Advanced SQL proficiency with hands-on BigQuery experience managing datasets, partitioning, clustering, views, schema updates, access controls, and query optimization.
  • Data Pipeline & Orchestration: Proven experience designing and running production ELT/ETL pipelines, state management, incremental loading, and workflow scheduling with Cloud Composer or Apache Airflow.
  • Programming & Scripting: Strong hands-on programming skills in Python and Bash shell scripting for container and pipeline workflows.
  • API Ingestion: Practical experience extracting data from enterprise REST or GraphQL APIs, handling pagination, rate limits, OAuth flows, and integration with secret management systems.
  • Dataform / SQL Transformation: Hands-on experience developing modular data transformations, dependencies, and automated test assertions using Dataform or comparable SQL-based frameworks.
  • Terraform & GCP Infrastructure: Experience writing reusable Terraform modules to provision GCP data and IAM resources, including BigQuery, Cloud Storage, service accounts, Cloud Run, and Cloud Composer.
  • GitLab CI/CD: Practical experience maintaining GitLab CI/CD pipelines, including environment stages, automated testing, container builds, and branch management.
  • Data Quality & Production Reliability: Experience implementing automated data-quality controls, reconciliation, observability, alerting, failure recovery, and production support.
  • Security & Governance: Experience applying access controls, secure credential handling, lineage, auditability, and data-governance requirements within a regulated or highly governed environment.

Preferred Technical Skills

  • Containerization: Experience packaging and running lightweight workloads using Docker, Cloud Build, and Cloud Run.
  • Developer Telemetry: Prior experience building reporting data models around software engineering tools, such as Jira, ServiceNow, GitLab.
  • Streaming & Event Ingestion: Familiarity with event-driven data ingestion using Pub/Sub or Apache Beam / Google Cloud Dataflow.
  • Analytics & AI Readiness: Familiarity with engineering, operational, productivity, quality, cost, risk, or AI-related data.

Work Experience & Education

  • Education: Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related technical discipline, or equivalent practical experience.
  • Relevant Experience: 5+ years of hands-on data engineering experience building production cloud data pipelines and data warehouse solutions.
  • DevOps / CI/CD Experience: 2+ years of practical experience integrating automated testing, infrastructure as code, and CI/CD deployment workflows.

Core Competencies

  • All KeyBank employees are expected to demonstrate Key’s Values and abide by Key’s Code of Conduct.

Physical Demands

  • General Office - Prolonged sitting, ability to communicate face to face in person or on the phone with teammates and clients, frequent use of PC/laptop, occasional lifting/pushing/pulling of backpacks, computer bags up to 10 lbs.

Work Location Category

  • Hybrid (2+ days)

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $80,000.00 - $150,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.

Please click here for a list of benefits for which this position is eligible.

Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Job Posting Expiration Date: 10/29/2026

KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing [email protected].

#LI-Hybrid

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 KeyBank'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 KeyBank'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

    KeyBank'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.