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Senior Data Engineer Python Jobs in Bellevue, WA

Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where ... Strong proficiency in Python and SQL * Familiarity with data governance frameworks, SDLC, and Agile ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with ... Python, Azure BLOB, Azure Data Factory, AZURE DATA LAKE

Senior Data Analyst

Seattle, WA · On-site

$97K - $123K/yr

Partner with engineering and product teams to define, instrument, and validate key metrics for new ... Strong hands-on experience using Python or R for data analysis, data manipulation, and automation.

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

Partner with engineering and product teams to define, instrument, and validate key metrics for new ... Strong hands-on experience using Python or R for data analysis, data manipulation, and automation.

Data Engineer

Seattle, WA

$130K - $156K/yr

You'll work closely with senior engineers and business partners to build, maintain, and improve key ... dbt, Python, Airflow, Informatica) - Help land and wrangle datasets from sources including ...

New

The Data Engineer will partner with Senior Data Engineers and SDE teams to design and maintain our Redshift-based data warehouse environment, building scalable architectures and migrating critical ...

Partner with engineering and product teams to define, instrument, and validate key metrics for new ... Strong hands-on experience using Python or R for data analysis, data manipulation, and automation.

Data Engineer, Partner Experience

Seattle, WA · On-site

$130K - $156K/yr

The Data Engineer will partner with Senior Data Engineers and SDE teams to design and maintain our Redshift-based data warehouse environment, building scalable architectures and migrating critical ...

Showing results 41-60

Senior Data Engineer Python information

See Bellevue, WA salary details

$91.4K

$142.6K

$197.5K

How much do senior data engineer python jobs pay per year?

As of Sep 15, 2026, the average yearly pay for senior data engineer python in Bellevue, WA is $142,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $162,500.00 per year, depending on experience, location, and employer.

What does a senior data engineer python do?

A Senior Data Engineer Python is responsible for designing, building, and maintaining complex data pipelines and architectures using Python as a primary programming language. They work with large datasets, ensuring data is collected, stored, and processed efficiently to support analytics and business intelligence. Their role often includes optimizing data workflows, collaborating with data scientists, and implementing data quality and security best practices. Senior Data Engineers also mentor junior team members and may help define data engineering strategies for their organization.

What are the key skills and qualifications needed to thrive as a senior data engineer python?

To thrive as a Senior Data Engineer Python, you need deep expertise in Python programming, data modeling, and ETL pipeline design, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Spark or Hadoop), cloud platforms (like AWS, GCP, or Azure), and relevant certifications are highly valued. Strong problem-solving, communication, and leadership skills enable effective collaboration and project delivery in cross-functional teams. These competencies are crucial for building robust, scalable data solutions that drive business insights and operational efficiency.

How does a senior data engineer python typically collaborate with data scientists and other engineering teams?

A Senior Data Engineer working with Python often plays a central role in bridging the gap between data science and engineering teams. They design and maintain robust data pipelines that ensure clean, reliable data is available for analytics and machine learning projects. Collaboration involves frequent communication with data scientists to understand data requirements and with software engineers to integrate data solutions into production systems. This multidisciplinary teamwork helps streamline project workflows and drives the development of scalable data solutions across the organization.

What is the difference between Senior Data Engineer Python vs Data Engineer Python?

AspectSenior Data Engineer PythonData Engineer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
ResponsibilitiesDesigning architecture, mentoring, complex data pipelinesBuilding data pipelines, data collection, basic ETL tasks
CertificationsRelevant certifications (e.g., AWS, GCP)Entry-level certifications preferred
Work EnvironmentCross-functional teams, project leadershipData teams, development environment

Senior Data Engineer Python roles typically require more experience, leadership, and complex project responsibilities compared to Data Engineer Python roles, which focus on building and maintaining data pipelines with less emphasis on leadership.

What job categories do people searching Senior Data Engineer Python jobs in Bellevue, WA look for?

The top searched job categories for Senior Data Engineer Python jobs in Bellevue, WA are:

Infographic showing various Senior Data Engineer Python job openings in Bellevue, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $142,579 per year, or $68.5 per hour.

Sr. Data Engineer, Enterprise - Slack

Seattle, WA

$120K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago


Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About the Team

At Slack, data isn't just infrastructure - it's the engine behind every great enterprise decision. Our Data Engineering team builds the products and pipelines that power our largest customers, delivering the metrics and insights that drive how they work. We operate at massive scale, transforming billions of records into actionable intelligence, and we're looking for talented engineers to help us do it even better.


As a Data Engineer on the Enterprise team, you'll partner cross-functionally with business stakeholders, analytics teams, and backend engineers to design, build, and scale both batch and real-time data pipelines. You'll contribute directly to initiatives that support key decision-makers within our enterprise customer base - helping them understand adoption, engagement, and the health of their Slack deployments.


You'll also be a core contributor to GovSlack, our cross-team initiative to establish feature parity for U.S. government agencies and highly regulated organizations. This is high-visibility, high-impact work that matters beyond the product - it supports national infrastructure.
We're looking for passionate, detail-oriented engineers who are excited about building a rock-solid data foundation and making a real impact at one of the world's most widely used collaboration platforms.

What You'll Be Doing
  • Translate complex business requirements into scalable, reusable data models that are easy to understand and adopted across subject areas

  • Design, implement, and maintain data pipelines that deliver high-quality data under defined SLAs

  • Partner with product, analytics, and engineering teams to build trusted, well-documented foundational datasets aligned with business strategy

  • Champion data strategy across multiple teams and use cases, driving consistency and reliability at scale

  • Expand access to core company metrics through strong technical and process foundations

  • Identify, document, and promote data engineering best practices across Slack

What You Should Have:
  • 5+ years of experience in data architecture, data modeling, master data management, or metadata management

  • Hands-on expertise with relational modeling approaches - including columnar, star schema, snowflake, and dimensional modeling

  • Proven track record optimizing schemas, tuning SQL, and scaling ETL pipelines in OLAP and data warehouse environments

  • Experience with Airflow or a comparable workflow orchestration platform for data pipeline management

  • Strong proficiency in Python and SQL

  • Familiarity with data governance frameworks, SDLC, and Agile methodologies

  • Excellent written and verbal communication skills with the ability to partner effectively across technical and business teams

  • U.S. citizen or lawful permanent resident, willing to undergo a background check for GovSlack authorization

Bonus Points
  • Hands-on experience with Spark SQL, AWS (S3, EMR), Apache Pinot, or Hadoop/Big Data ecosystems

  • Experience with Flink or other real-time stream processing frameworks

  • Proficiency in Scala

  • Familiarity with cloud platforms (AWS, GCP, or Azure)

  • Experience with NoSQL data stores

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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