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Senior Data Engineer Manager Jobs (NOW HIRING)

Senior Data Engineer Manager

Chicago, IL · Remote

$108K - $147K/yr

  • Medical

  • PTO

Who We're Looking For We are seeking an experienced Senior Data Engineering Manager to lead and scale our data engineering organization. You'll build and optimize our modern data platform, lead a ...

Senior Data Engineer

Arlington, VA · Hybrid

$121K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date ... Frequently communicates with co-workers, management, and customers, which may involve delivering ...

Senior Data Engineer

Arlington, VA · On-site

$122K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date ... Frequently communicates with co-workers, management, and customers, which may involve delivering ...

Senior Data Engineer

Brentwood, TN · On-site

$55 - $65/hr

Senior Data Engineer (Azure / Databricks) Location: Multiple U.S. locations (client sites vary ... Integrate data from ERP, project management, cost systems, APIs, and SFTP sources. Data Quality ...

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior Data Engineer - Microsoft Fabric & Power BI Location: Vadnais Heights, MN - Hybrid What is ... Support enterprise data governance initiatives, including metadata management, security, lineage ...

Senior Data Engineer

Manor, TX · On-site

$114K - $155K/yr

Senior Data Engineer (10+ Years Experience) Job Title: Senior Data Engineer Experience: 10+ Years ... Ensure data quality, governance, security, and metadata management. * Collaborate with data ...

New

Sr Data Engineer

Plano, TX · On-site

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Sr. Data Engineer (Java / Snowflake / DataStage / Python) Overview We are seeking a Senior Data Engineer / Full Stack Developer to support enterprise data engineering initiatives. This role will ...

Sr Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Sr. Data Engineer (Java / Snowflake / DataStage / Python) Overview We are seeking a Senior Data Engineer / Full Stack Developer to support enterprise data engineering initiatives. This role will ...

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

Role: Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is possible for the right candidates Duration: 6-12 months What You Will Do: The Senior Data ...

Senior Data Engineer

Evanston, IL · On-site

$101K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer will design, develop, and scale enterprise data infrastructure that ... Lead the collection, integration, and management of complex datasets from diverse sources ...

$194K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Design, build and manage scalable data pipelines using Azure Data Factory (ADF), Azure Data Lake ...

Senior Data Engineer

Houston, TX

$194K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake ...

Senior Data Engineer

Charlotte, NC · On-site

$194K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake ...

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA (Local candidates preferred) or with in the time zone ... Design, develop, and manage robust, scalable data pipelines and workflows using Python and ...

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Senior Data Engineer Manager information

See salary details

$81K

$126.3K

$175K

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

As of Aug 16, 2026, the average yearly pay for senior data engineer manager in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What does a Senior Data Engineer Manager do?

A Senior Data Engineer Manager oversees teams of data engineers responsible for designing, building, and maintaining an organization’s data infrastructure. They develop strategies for data architecture, ensure the quality and security of data systems, and collaborate with other departments to meet business goals. In addition to technical responsibilities, they manage team performance, provide mentorship, and align data initiatives with company objectives.

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

AspectSenior Data Engineer ManagerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often leadership experienceBachelor's in CS, Data Science, or related
Work EnvironmentLeads teams, manages projects, strategic planningDevelops data pipelines, coding, data modeling
Industry UsageCommon in organizations with large data teamsEntry to mid-level roles in data teams

The Senior Data Engineer Manager oversees data engineering teams and projects, focusing on leadership and strategy, while Data Engineers primarily build and maintain data pipelines and infrastructure. The managerial role requires leadership skills and experience, whereas Data Engineers focus on technical execution.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Manager?

To thrive as a Senior Data Engineer Manager, you need deep expertise in data engineering, architecture, and leadership, typically backed by a degree in computer science or a related field and several years of experience. Proficiency with big data tools (such as Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, or GCP), and data pipeline orchestration systems is essential, and certifications in these technologies can be advantageous. Exceptional communication, team management, and strategic thinking skills help you lead teams and align data solutions with business goals. These skills and qualities are vital for building scalable data infrastructure, fostering high-performing teams, and delivering actionable insights to drive organizational success.

What are some common challenges that Senior Data Engineer Managers face when leading data teams?

Senior Data Engineer Managers often encounter challenges in balancing strategic oversight with hands-on technical leadership. Managing cross-functional teams means coordinating efforts across data engineering, analytics, and business stakeholders, which can lead to complex communication and prioritization issues. Additionally, overseeing large-scale data infrastructure projects requires staying updated on evolving technologies while ensuring data quality and security. Effective delegation, fostering team growth, and aligning technical solutions with business goals are key to overcoming these challenges.
More about Senior Data Engineer Manager jobs

What cities are hiring for Senior Data Engineer Manager jobs?

Cities with the most Senior Data Engineer Manager job openings:

What are the most commonly searched types of Senior Data Engineer jobs?

The most popular types of Senior Data Engineer jobs are:

What states have the most Senior Data Engineer Manager jobs?

States with the most job openings for Senior Data Engineer Manager jobs include:

Infographic showing various Senior Data Engineer Manager job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Senior Data Engineer Manager

Adoreal

Chicago, IL • Remote

$108K - $147K/yr

Full-time

Medical, PTO

Posted 12 days ago


Job description

Who We Are

We are a fast-growing vertical SaaS company leveraging innovation and disruptive technologies to improve consumer experiences, outcomes, and predictability within the plastic surgery industry. Our team thrives on challenges, embraces change, and is dedicated to transforming how the industry operates.

Data is a critical product within our company, and we are investing heavily in our data capabilities. In this role, you will lead one of the most impactful teams in the organization, with significant opportunity for growth and influence.

Who We're Looking For

We are seeking an experienced Senior Data Engineering Manager to lead and scale our data engineering organization. You’ll build and optimize our modern data platform, lead a distributed engineering team, and partner with product, analytics, and business leaders to ensure data is accurate, accessible, and scalable. This role offers full autonomy, leadership opportunities, and direct impact on our data architecture and product capabilities.

In this role, you will strengthen our analytics capabilities, partner closely with business leaders, and ensure the delivery of high-impact, actionable insights that drive decision-making across the organization.

While we are a remote-first company, we are currently only able to hire candidates located in the following U.S. states: CA, CO, FL, GA, IL, MN, OK, OR, PA, RI, TX, UT, and WA. We hope to expand to additional states in the future.

Responsibilities

As the Senior Data Engineering Manager, you will:

Team Leadership & Strategy

  • Lead, mentor, and grow a distributed analytics team across multiple time zones.
  • Establish priorities, set goals, and manage performance to foster a high-performing analytics organization.
  • Develop and implement analytics standards, best practices, and processes to ensure quality and consistency.

Platform & Pipeline Engineering

  • Architect, build, and maintain scalable ETL/ELT pipelines, event streams, and ingestion frameworks to support analytics, product features, and ML applications.
  • Oversee the design and implementation of cloud-native data infrastructure (data warehouses, lakes, transformation layers, and orchestration).
  • Ensure high data quality, consistency, governance, and observability across all data systems.
  • Oversee and guide the development of dashboards, automated reports, and analytics tools using BI platforms (e.g., Tableau, Looker, Power BI, Fivetran, or Redshift).
  • Ensure robust data pipelines, reliable metrics, and scalable reporting solutions in collaboration with data engineering.

Project Delivery

  • Prioritize analytics projects, balance roadmap demands, and ensure timely delivery.
  • Champion analytical excellence, including experiment design, KPI definition, and model validation.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Systems, or a related quantitative field.
  • 7+ years of professional experience in data engineering, data platform development, or related fields — including managing data teams.
  • Deep experience with modern cloud data ecosystems (e.g., Snowflake, BigQuery, AWS/Azure/GCP data services).
  • Expertise building and optimizing ETL/ELT pipelines using tools like dbt, Apache Airflow, Spark, or similar orchestration frameworks.
  • Strong SQL and programming skills (Python, Scala, or similar languages).
  • Experience with data modeling, schema design, and real-time data ingestion strategies.
  • Excellent communication skills, with the ability to translate complex analyses to non-technical stakeholders.
  • Demonstrated ability to manage multiple priorities in a fast-paced, remote environment.

Preferred Qualifications

  • Experience managing internationally distributed teams.
  • Familiarity with cloud data platforms (e.g., Snowflake, AWS, GCP) and modern analytics stacks.
  • Experience with statistical modeling or data science techniques.

Benefits

Why Adoreal?

Joining Adoreal means becoming part of a high-performing, ambitious team that works hard, achieves extraordinary results, and enjoys the rewards that follow. Every employee receives equity, aligning us all in our shared success. Promotions and growth opportunities are limitless, driven only by your performance and dedication to our core principles:

  • We do what is best for the company, not what is best for individuals of the company—we take pride in our work, but not in pride itself—the success of Adoreal is more important than our egos.
  • We always share relevant information and admit our mistakes freely and openly (even when it is worrisome or uncomfortable to do so). Candid communication and a solution-oriented mindset is rewarded.
  • We innovate by finding the right problems, then solving them. We thrive on change that minimizes complexity and improves situations for our stakeholders.
  • We incentivize efficient results & people over process and focus only on the work that creates the most value for our stakeholders.
  • We are quietly confident and openly humble, being tenacious in our quest to perform and inspire others with our thirst for excellence.
  • We do not bow up and knock down—we care about our teammates and treat all of them with respect, regardless of their level within the company.
  • We are steadfast in our pursuit to better our company, our colleagues, and ourselves. When we hire, we only hire people who bleed our principles and who will hopefully be our replacement one day.
What We Offer

At Adoreal, we believe in supporting our team’s well-being and growth through comprehensive benefits and a collaborative, people-first culture. As a globally remote company, we prioritize flexibility, inclusivity, and teamwork rooted in the Adoreal principles.

Benefits & Perks:

  • Healthcare coverage for you and your family
  • Paid time off (PTO) and paid holidays
  • Performance-based bonuses and company equity opportunities
  • Fully remote work environment with flexible schedules
  • Collaborative and thriving team culture guided by Adoreal’s core values

At this time, Adoreal is not offering visa sponsorship for this position. Candidates must have current and valid authorization to work in the country where they are applying. We comply with all applicable employment and immigration laws, including U.S. regulations, and encourage applicants to verify their work authorization status before applying.


Adoreal is an equal opportunity employer committed to fostering a diverse, inclusive, and fair workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic under applicable U.S. law (EEOC) or local employment regulations where we operate. We encourage applications from candidates of all backgrounds.
Accommodations for disabilities are available upon request throughout the recruitment process.
*We are not working with search firms for this role, thank you*

Recruitment Fraud Notice

Adoreal has become aware of fraudulent job offers being sent by people falsely claiming to represent us. To protect yourself:

  • Verify the sender's email address matches our official domain before responding.
  • Be cautious of offers that come with no prior application or interview process.
  • Never share personal details, banking information, or Social Security numbers as part of a job offer or interview.
  • Legitimate offers will never ask you to pay money upfront for equipment, training, or onboarding.
  • If something feels off — urgency, poor grammar, unusual payment requests — trust your instincts and pause before responding.

If you receive a suspicious email or offer claiming to be from Adoreal, please don't respond to it directly. Report it as spam through your email provider and reach out to us at with any concerns.