Data Consultant/Team Lead
Remote - US
- Pay
$110,000–135,000/year · BaseAnnual period assumed · Location-specific pay — pay source
Location: USA, Remote Base Salary Range: $110-135k (offered salary depends on experience and location) Total Experience Equation
Read the full posting- Work setup
Remote stated — work setup source
Anticipated Travel: Up to 15% of the time Location: USA, Remote Base Salary Range: $110-135k (offered salary depends on experience and location)
Listed location: Remote - US
Read the full posting- Employment
Full-time — employment source
More about the position Job Type: Full Time, W-2 Anticipated Travel: Up to 15% of the time
Read the full posting
What you’ll work on
Full postingDevelop system engineering, integrations, and architectures based on client needs.
Implement and provide advice on data warehouse solutions, ETL pipelines, and business intelligence reporting tools.
Develop a data model around stated use cases to capture client’s KPIs and data transformations.
From the employer’s posting
Guide clients on optimizing their data environment to work most effectively and efficiently for them. Develop system engineering, integrations, and architectures based on client needs. Implement and provide advice on data warehouse solutions, ETL pipelines, and business intelligence reporting tools.
Develop system engineering, integrations, and architectures based on client needs. Implement and provide advice on data warehouse solutions, ETL pipelines, and business intelligence reporting tools. Develop a data model around stated use cases to capture client’s KPIs and data transformations. Validation and testing of data models.
Implement and provide advice on data warehouse solutions, ETL pipelines, and business intelligence reporting tools. Develop a data model around stated use cases to capture client’s KPIs and data transformations. Validation and testing of data models. Teach technical data modeling concepts to a variety of audiences, including developers, data architects, business users, and IT professionals.
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Tools in this posting
- bash
- python
- r
- aws
- bigquery
- looker
Source — Tool mentions in context
- Experience optimizing database/query performance. - Proficiency with a scripting language (e.g. Python, R, Perl, bash) and advanced SQL. - Bachelor's or Master’s degree – in a quantitative field (i.e. Statistics or Operations Research) or technical field (i.e. Computer Science or Engineering) (preferred).
- Project management (eg. Basecamp, JIRA, ASANA). - Experience with the AWS, Google Cloud ecosystem (BigQuery, Redshift). - Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI).
- Experience with the AWS, Google Cloud ecosystem (BigQuery, Redshift). - Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI). - Experience with data warehousing and using Snowflake.
Why should you work at DAS42? Our cultural pillars say it all: People, Impact, and Curiosity. We care about our people, the work we do makes an impact, and everyone at DAS42 is supported to further develop their skills and ask questions. Through our commitment to delivering best-in-class solutions and providing industry leading Total Rewards to our employees out team has built a company that we can be proud of. That is we’ve been named 2022 Snowflake Partner of the Year, one of BuiltIn’s 2023 and 2024 Best Places to Work. As a diverse team, we encourage people from all academic, social, and demographic backgrounds to explore career opportunities. Check out our page for more information about who we are and why our people love working here.
- Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI). - Experience with data warehousing and using Snowflake. - Experience optimizing database/query performance.
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- Pay
Location: USA, Remote Base Salary Range: $110-135k (offered salary depends on experience and location) Total Experience Equation
- Location & working pattern
Remote - US
- Anticipated Travel: Up to 15% of the time - Location: USA, Remote - Base Salary Range: $110-135k (offered salary depends on experience and location)
More source context
- Flexible Work Policy - Remote Work Stipend - 401(k) Matching
- Work authorization
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Posting history
- Status in our records
- Unknown — awaiting fresh evidence
- First recorded
- Dec 6, 2025
We weren’t watching this one from the start, so we can’t say how long it has been open.
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Education & alternatives
- Proficiency with a scripting language (e.g. Python, R, Perl, bash) and advanced SQL. - Bachelor's or Master’s degree – in a quantitative field (i.e. Statistics or Operations Research) or technical field (i.e. Computer Science or Engineering) (preferred). - Worked for a consulting/services organization (preferred).
Job description
About Us
DAS42 is a data consultancy that brings clarity and a modern point of view to managing, accessing, and using data to solve our client’s most urgent business needs. We see our clients and the complex data issues they face and apply customized strategies to reach their goals. Our deeply knowledgeable team can engage end-to-end across all layers of our client’s data ecosystem, giving them greater efficiency, scale, and flexibility to transform their organization for long-term success.
Why should you work at DAS42? Our cultural pillars say it all: People, Impact, and Curiosity. We care about our people, the work we do makes an impact, and everyone at DAS42 is supported to further develop their skills and ask questions.
Through our commitment to delivering best-in-class solutions and providing industry leading Total Rewards to our employees out team has built a company that we can be proud of. That is we’ve been named 2022 Snowflake Partner of the Year, one of BuiltIn’s 2023 and 2024 Best Places to Work.
As a diverse team, we encourage people from all academic, social, and demographic backgrounds to explore career opportunities. Check out our page for more information about who we are and why our people love working here.
About the Role
DAS42 is seeking a versatile Data Consultant/Team Lead who can flex between hands-on technical work and leading project teams. In this role, you will design and deliver scalable data solutions, including data models, ELT/ETL pipelines, cloud data platforms, and BI tools, while advising clients on how to maximize the value of their data.
You’ll translate business needs into technical strategies, guide solution architecture, and support or lead project execution depending on team and client requirements. The ideal candidate is both a strong individual contributor and an emerging leader, comfortable mentoring others and driving high-quality outcomes. This is a client-facing role that requires excellent communication skills, technical expertise, and a consultative mindset.
What You’ll Do
- Guide clients on optimizing their data environment to work most effectively and efficiently for them.
- Develop system engineering, integrations, and architectures based on client needs.
- Implement and provide advice on data warehouse solutions, ETL pipelines, and business intelligence reporting tools.
- Develop a data model around stated use cases to capture client’s KPIs and data transformations. Validation and testing of data models.
- Teach technical data modeling concepts to a variety of audiences, including developers, data architects, business users, and IT professionals.
- Manage technical teams of up to 4-6 people, delegating work to associates across concurrent engagements.
- Assign staff with appropriate skill sets in associate and junior consultants to projects in conjunction with the project manager
- Work within a project management framework to meet objectives, understand scope, and impact of your work across an organization.
- Work with the Sales and Marketing teams to develop Thought Leadership and support our sellers by talking to clients about DAS42’s capabilities.
What We’re Looking For
- 5 to 7 years of work experience in a data analytics and/or data engineering role.
- Minimum of 1 year leading projects, either formally or informally.
- A passion for exploring and solving different kinds of problems.
- A desire to learn and assimilate technical information quickly.
- Exposure to developer tools/workflow (e.g. git/github, SSH). Knowing how to get around a command line environment.
- Project management (eg. Basecamp, JIRA, ASANA).
- Experience with the AWS, Google Cloud ecosystem (BigQuery, Redshift).
- Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI).
- Experience with data warehousing and using Snowflake.
- Experience optimizing database/query performance.
- Proficiency with a scripting language (e.g. Python, R, Perl, bash) and advanced SQL.
- Bachelor's or Master’s degree – in a quantitative field (i.e. Statistics or Operations Research) or technical field (i.e. Computer Science or Engineering) (preferred).
- Worked for a consulting/services organization (preferred).
- Worked with or for Media & Entertainment or Telecom companies (preferred).
More about the position
- Job Type: Full Time, W-2
- Anticipated Travel: Up to 15% of the time
- Location: USA, Remote
- Base Salary Range: $110-135k (offered salary depends on experience and location)
Total Experience Equation
- Unlimited Vacation
- Medical, Vision, and Dental Insurance
- Paid Family and Medical Leave
- Individual and Company Bonus Programs
- Paid Family and Medical Leave
- Regular, In-person Company Events
- Flexible Work Policy
- Remote Work Stipend
- 401(k) Matching
- Learning and Development Programs
All new hires will be required to complete a background check, and employment at DAS42 is contingent upon successfully passing it. If an applicant is found to have misrepresented themselves, DAS42 reserves the right to withdraw the offer.
DAS42 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.