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Data Engineer

Pay
USD 160,000–180,000/year — pay source
Salary 160,000 – 180,000 USD per year Don't meet every requirement? Apply anyway! We value diverse candidates and encourage applications, even if you don't perfectly match the job description. Studies have shown that some strong candidates may self-select out of the interview process prematurely, at Smarsh we encourage an inclusive, high-performing environment.
Read the full posting
Work setting
Remote — work setting source
Listed location: US - Remote
Work setup in the employer’s posting: remote
From the employer’s posting
Employment
Full-time — employment source
Employment type Full-Time
Employment type in the employer’s posting: Full-Time
From the employer’s posting

What you’ll work on

Full posting
  • Guide engineers through complex database architecture and performance problems

  • Set the technical approach for scalable data solutions with Product, Engineering and SRE

  • Drive larger cross-functional projects from design through delivery

  • Review code and database changes for systemic risk and performance

  • Interpret database health data in Splunk, Datadog and Grafana to flag risk early

From the employer’s posting
guiding engineers through complex or ambiguous technical problems where established principles don't fully apply
Set the technical approach for scalable data solutions, partnering with stakeholders across Product, Engineering, and Site Reliability to shape direction rather than simply implement it
Drive larger, cross-functional projects from design through delivery
Review code and database changes with an eye for systemic risk and performance
Interpret database health and performance data (Splunk, Datadog, Grafana) to proactively flag and address risk before it surfaces as an incident

What you’ll bring

All qualifications

Preferred experience

  • 7+ years of hands-on experience with Microsoft SQL Server in a production environment, with demonstrated impact as a subject-matter expert
  • Deep expertise in schema and data model design, including normalization, partitioning, and indexing strategy for both OLTP workloads
  • Demonstrated ability to diagnose and resolve production capacity and contention issues at this scale, including lock/latch contention, TempDB performance, and transaction management
  • Experience designing for horizontal as well as vertical scalability, anticipating data growth before it becomes a production risk
Qualification wording
7+ years of hands-on experience with Microsoft SQL Server in a production environment, with demonstrated impact as a subject-matter expert
Deep expertise in schema and data model design, including normalization, partitioning, and indexing strategy for both OLTP workloads
Demonstrated ability to diagnose and resolve production capacity and contention issues at this scale, including lock/latch contention, TempDB performance, and transaction management
Experience designing for horizontal as well as vertical scalability, anticipating data growth before it becomes a production risk
Apply at Smarsh

Posting record

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Status in our records
Live
First seen by us
Sep 19, 202646 days ago
Recorded sightings
31
Last seen by us
Nov 4, 2026
Employer says posted
Sep 2, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$160K–$180K against $127K–$190K, the middle half of what similar US postings state.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 46

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Smarsh is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • AWS
  • Datadog
  • DynamoDB
  • Grafana
  • MongoDB
  • NoSQL
  • SQL Server
Where the posting names them
As a Database Engineer on the Professional Archive team, you'll operate as a subject-matter expert for the data infrastructure that powers our platform – driving the architecture, scaling, and reliability decisions that keep high-velocity, compliance-critical systems performant and secure. You'll work with SQL Server environments spanning multi-terabyte data volumes, tables with billions of rows, and sustained throughput exceeding 100,000 transactions per second. You'll work independently through ambiguous and unfamiliar problems, set technical direction for real-time data pipelines and system performance, and act as a go-to resource for engineers across the wider organization. Your work will directly shape how Smarsh clients meet their compliance needs through scalable, dependable data and search capabilities.
- If you don't meet every qualification listed below, we still encourage you to apply. We value diverse experiences and perspectives. Progression to this level reflects demonstrated ability to perform as a subject-matter expert, not years of experience alone. - 7+ years of hands-on experience with Microsoft SQL Server in a production environment, with demonstrated impact as a subject-matter expert - Deep expertise in schema and data model design, including normalization, partitioning, and indexing strategy for both OLTP workloads
- Deep expertise in schema and data model design, including normalization, partitioning, and indexing strategy for both OLTP workloads - Advanced proficiency in performance tuning, including T-SQL and stored procedure optimization, execution plan analysis, and query tuning at scale - Proven, hands-on experience managing and troubleshooting SQL Server databases at terabyte scale, including tables with billions of rows, and sustained throughput exceeding 100k transactions per second
- Advanced proficiency in performance tuning, including T-SQL and stored procedure optimization, execution plan analysis, and query tuning at scale - Proven, hands-on experience managing and troubleshooting SQL Server databases at terabyte scale, including tables with billions of rows, and sustained throughput exceeding 100k transactions per second - Demonstrated ability to diagnose and resolve production capacity and contention issues at this scale, including lock/latch contention, TempDB performance, and transaction management
- Familiarity with NoSQL technologies (e.g., MongoDB, Cassandra, DynamoDB) is a plus - Experience with cloud database platforms (e.g., AWS RDS/Aurora, MongoDB Atlas) is a plus What do we offer?
- Track emerging technologies and make the call on which are worth adopting, guiding the team's direction - Interpret database health and performance data (Splunk, Datadog, Grafana) to proactively flag and address risk before it surfaces as an incident What will you bring?
- Experience designing for horizontal as well as vertical scalability, anticipating data growth before it becomes a production risk - Familiarity with NoSQL technologies (e.g., MongoDB, Cassandra, DynamoDB) is a plus - Experience with cloud database platforms (e.g., AWS RDS/Aurora, MongoDB Atlas) is a plus

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

As a Database Engineer on the Professional Archive team, you'll operate as a subject-matter expert for the data infrastructure that powers our platform – driving the architecture, scaling, and reliability decisions that keep high-velocity, compliance-critical systems performant and secure. You'll work with SQL Server environments spanning multi-terabyte data volumes, tables with billions of rows, and sustained throughput exceeding 100,000 transactions per second.

You'll work independently through ambiguous and unfamiliar problems, set technical direction for real-time data pipelines and system performance, and act as a go-to resource for engineers across the wider organization. Your work will directly shape how Smarsh clients meet their compliance needs through scalable, dependable data and search capabilities.

You'll partner with leaders across Product Management, Engineering, and Site Reliability, weighing a range of inputs to resolve complex challenges and influence strategy beyond your immediate team. We're looking for someone who brings deep technical judgment, mentors others, and is motivated to make an impact through thoughtful, high-leverage engineering.

How will you contribute?

  • Serve as a subject-matter expert for database architecture and performance, guiding engineers through complex or ambiguous technical problems where established principles don't fully apply
  • Set the technical approach for scalable data solutions, partnering with stakeholders across Product, Engineering, and Site Reliability to shape direction rather than simply implement it
  • Drive larger, cross-functional projects from design through delivery, proactively identifying and addressing upstream and downstream impacts before they become issues
  • Informally mentor other engineers, modeling sound engineering discipline and raising the technical bar for the wider team
  • Shape how the team adopts modern engineering practices, including Agile methodologies, CI/CD pipelines, and DevOps principles
  • Review code and database changes with an eye for systemic risk and performance, while also leading efforts to pay down technical debt across systems
  • Track emerging technologies and make the call on which are worth adopting, guiding the team's direction
  • Interpret database health and performance data (Splunk, Datadog, Grafana) to proactively flag and address risk before it surfaces as an incident

What will you bring?

    We're looking for a recognized subject-matter expert who operates independently, drives clarity through ambiguity, and raises the bar for those around them.

  • Advanced, wide-ranging experience with database systems, with the judgment to operate independently in unfamiliar or ambiguous situations
  • Deep expertise designing logical and physical data models, including schema design and data relationships, at a level others rely on for direction
  • A demonstrated ability to set database performance strategy by tuning queries and indexes and establishing standards that others follow
  • Strong command of data security practices (encryption, access controls, auditing), with the ability to shape how the team approaches them
  • A track record of independently troubleshooting complex issues in systems that require high availability, serving as an escalation point for others
  • Ability to plan for data growth and scale infrastructure with the full flow of work in mind, not just the immediate ask
  • The credibility and collaborative instinct to influence peers and cross-functional partners, not just execute their requests
  • Strong command of modern development practices and Agile methodologies, with a voice in how the team applies them
  • Ability to communicate technical direction, trade-offs, and risk clearly to stakeholders outside your immediate team
  • Comfort setting a course through evolving, ambiguous requirements rather than waiting for them to be resolved
  • A proactive approach to identifying and solving problems that cross team boundaries

Preferred Qualifications

  • If you don't meet every qualification listed below, we still encourage you to apply. We value diverse experiences and perspectives. Progression to this level reflects demonstrated ability to perform as a subject-matter expert, not years of experience alone.

  • 7+ years of hands-on experience with Microsoft SQL Server in a production environment, with demonstrated impact as a subject-matter expert
  • Deep expertise in schema and data model design, including normalization, partitioning, and indexing strategy for both OLTP workloads
  • Advanced proficiency in performance tuning, including T-SQL and stored procedure optimization, execution plan analysis, and query tuning at scale
  • Proven, hands-on experience managing and troubleshooting SQL Server databases at terabyte scale, including tables with billions of rows, and sustained throughput exceeding 100k transactions per second
  • Demonstrated ability to diagnose and resolve production capacity and contention issues at this scale, including lock/latch contention, TempDB performance, and transaction management
  • Experience designing for horizontal as well as vertical scalability, anticipating data growth before it becomes a production risk
  • Familiarity with NoSQL technologies (e.g., MongoDB, Cassandra, DynamoDB) is a plus
  • Experience with cloud database platforms (e.g., AWS RDS/Aurora, MongoDB Atlas) is a plus

What do we offer?

  • Healthcare insurance: We provide medical, dental, and vision insurance, and a flexible spending account that allows you to set aside pre-tax dollars to pay for eligible out-of-pocket expenses.
  • Stock options.
  • Personal time off: A healthy work-life balance is critical to your success at the office. Smarsh offers a “take-what-you-need” time off policy as well as flexible work arrangements.
  • 401K Match: Smarsh provides a 4% 401K match for which employees are fully vested on day one.
  • Sabbatical: The Smarsh sabbatical programme provides a time to recharge, study or simply do something you are passionate about away from the workplace. Employees are eligible after six years of service.
  • Recognition: We’re big on kudos for a job well done. Our employee-recognition programme enables co-workers to nominate their peers who best embody our core values for recognition.
The above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.
 
Local cost of living assessments are done for each new hire at the time of offer.
 

Salary

160,000 – 180,000 USD per year

Don't meet every requirement? Apply anyway! We value diverse candidates and encourage applications, even if you don't perfectly match the job description. Studies have shown that some strong candidates may self-select out of the interview process prematurely, at Smarsh we encourage an inclusive, high-performing environment.
 
Smarsh is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Smarsh invites all qualified interested applicants to apply for career opportunities. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Including frequency of functions

Employment type

Full-Time

Source details

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Pay
Salary 160,000 – 180,000 USD per year Don't meet every requirement? Apply anyway! We value diverse candidates and encourage applications, even if you don't perfectly match the job description. Studies have shown that some strong candidates may self-select out of the interview process prematurely, at Smarsh we encourage an inclusive, high-performing environment.
Location & working pattern

US - Remote

Working pattern and location restrictions need checking in the full posting.

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