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Datum Jobs (NOW HIRING)

$84K - $101K/yr

This data is inherently messy. We need clean data schemas for this as we grow and evolve. You should be designing with our entire system in mind. * Set up the data platform for agentic layers.

The Data Ops team is responsible for delivering scalable data, reporting and operational analytics solutions that support decision-making across the firm. The team partners closely with stakeholders ...

Data Engineer with Security Clearance

Reston, VA · On-site

$119K - $143K/yr

At Data Machines we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer solutions for our Federal government, defense, and commercial sponsors to solve real-world ...

$140K - $145K/yr

The Clinical Data Scientist, will participate in the making use of RedSail's data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program ...

We are seeking a Data Governance / Data Manager to establish and maintain enterprise-level data management practices for the VA OAA Data Management Center (DMC), working toward Level 4-5 CMMI target ...

Data Entry Remote Work

Greenville, AL · On-site

$12 - $16/hr

Data Entry Remote Work Greenville, AL, United States Job Openings Data Entry Remote Work A Data Entry Clerk, is responsible for inputting data and making changes to existing data figures in digital ...

Data Entry Remote Work

Avondale, AZ · Remote

$17.75 - $23.50/hr

Data Entry Remote Work Avondale, AZ, United States Job Openings Data Entry Remote Work A Data Entry Clerk, is responsible for inputting data and making changes to existing data figures in digital ...

Data Scientist, Data Science

Waltham, MA · Hybrid

$103K - $121K/yr

About us National Grid is hiring a Data Scientist - Data, Business Intelligence & Advanced Analytics. This is a hybrid position and can be based out of Waltham, MA or Northborough, MA. Every day we ...

WI · On-site

$130K - $200K/yr

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, We are ...

New

With over 150 data centers across more than 20 countries globally, we offer unparalleled opportunities to work on cutting-edge technology and transformative projects. Experience a collaborative ...

Data Engineer - Only Locals

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Location: Atlanta, GA - Local Candidates Only Workplace: Onsite Duration: Long-Term Contract Experience: 7+ Years Job Summary We are seeking an experienced Data Engineer with 7+ years ...

New

The Role As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that powers analytics and product data across the company - ingestion pipelines, warehouse modeling, data ...

Showing results 21-40

Datum information

What is a datum?

Datum jobs typically refer to roles related to managing, processing, and analyzing data, often within fields like data science, data entry, or database management. People in datum jobs work with large sets of information, ensuring accuracy, organization, and accessibility. These roles are essential across many industries, including technology, healthcare, finance, and research. Common positions include data analyst, data entry clerk, and data manager. Having strong analytical skills and attention to detail is crucial for success in datum jobs.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or economics. Familiarity with data analysis tools such as SQL, Excel, Python, and visualization platforms like Tableau or Power BI is typically required. Critical thinking, attention to detail, and effective communication are key soft skills that help in interpreting and presenting data-driven insights. These skills are essential for transforming raw data into actionable information that supports business decision-making.

What are some common challenges faced by data analysts when working with large datasets, and how can they be addressed?

Data analysts often encounter challenges such as data quality issues, inconsistent formats, and processing delays when handling large datasets. Addressing these requires strong data cleaning skills, familiarity with data processing tools like SQL or Python, and close collaboration with data engineers to optimize data pipelines. Proactively communicating data requirements and validation steps with team members can also help ensure data integrity and streamline analysis. Continuous learning about new data management technologies can further enhance efficiency in this role.

What is the difference between Datum vs Data Analyst?

AspectDatumData Analyst
Required CredentialsTypically minimal; may include basic data handling skillsOften requires a degree in data science, statistics, or related fields
Work EnvironmentData collection, entry, or basic data managementAnalyzing data sets, creating reports, and providing insights
Industry UsageUsed in contexts where individual data points are referencedCommonly employed in business, finance, healthcare for data analysis

In summary, a Datum refers to a single data point, while a Data Analyst works with multiple data points to interpret and generate insights. Understanding this difference helps clarify roles in data management and analysis.

More about Datum jobs

What cities are hiring for Datum jobs?

Cities with the most Datum job openings:

Infographic showing various Datum job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, 2% Contract, and 1% Nights. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution.

Software Engineer, Data Platform

On-site

$84K - $101K/yr

Other

Medical, Dental, Vision

Posted 16 days ago


Key responsibilities

  • Design and architect real-time data ingestion pipelines for processing dense construction documents.

  • Consolidate and cleanse existing data architecture to create clean data schemas and ensure system-wide consistency.

  • Set up the data platform to support agentic layers and enable other engineers to access and query data efficiently.


Job description

About Rebar

Rebar is building the AI operating system for commercial HVAC, Electrical, and Plumbing. Over the past year our quoting platform has processed tens of thousands of projects across North America and we're continuing that growth. Our customers include many of the top firms in the industry. Some of these companies are running billion dollar construction projects on workflows that still look like it's 1985.

Construction is 10% of GDP and still massively underserved by software. We are changing that. We recently raised a $14M Series A from leading construction tech investors and are entering our next phase of growth. We are building a set of AI native products that will define how this industry operates.

About the Engineering Organization

We're in the age of AI and the role of the engineer is rapidly changing. We're aware and being very intentional about ensuring we adapt with it. We are fostering an engineering culture of growth and development. We strongly emphasize care of craft and winning together. Everyone operates like an owner, we find a way, and we win together.

About the Role

We're hiring a Software Engineer to own our data platform and analytics. This will be the event infrastructure that ties our services together and makes surfacing new insights to our customers seamless.

We want to be clear that this is not a business insights or analyst role - this is a backend/systems role. You are going to be designing migrations, schemas, and the pipelines for all of the data that we can read off of extremely dense construction plansets.

Responsibilities
  • Design and architect real time data ingestion. We have hundreds and soon will have thousands of ML jobs running at any given time processing dense construction documents. We parse and extract lots of information about these projects. This information should be ingested in real time for greater insights for our customers as well as for our internal team.
  • Consolidate and cleanse our existing data architecture. This data is inherently messy. We need clean data schemas for this as we grow and evolve. You should be designing with our entire system in mind.
  • Set up the data platform for agentic layers. Providing context to our Rebar Agent is a pillar of having a world class agent. You will be fundamental in this role.
  • Data platform for developer velocity. You are setting up the backbone of our data platform so that other engineers can access and query the data they need with ease.
What We're Looking For

We're looking for a passion and excitement about large amounts of structured and unstructured data. You should eat and breathe your domain and be hungry for it. We want curious engineers that love the research part of the job. Interested in trying QuackDB? Or just want to mess around with parquet files some? Sure, let it rip. Haven't even heard of QuackDB? Now might be the time to learn. Always wanted to explore the cost benefit analysis between Cassandra, DynamoDB, and Scylla? Or intrigued by balancing a local analytics platform that minimizes latency and network load? You might have found your role.

We want someone that has experience dealing with vastly more data than we currently have because that is the direction that we're moving. You should be prepared to work hard (we are still a Series A startup), take a risk, learn a lot, and grow individually and with us as a company.

Requirements
  • 5+ years of industry software engineering experience
  • Experience with data intensive systems in production
  • Ideally you will have handled complex data migrations for active clients
  • Knowledge of various databases and indexes (Postgres/Aurora preferred)
  • Experience justifying data architecture tradeoffs
Nice to Have
  • Event-driven / streaming pipeline experience
  • Analytics modeling (materialized views, rollups, columnar/OLAP engines)
  • Experience with workflow orchestration (Temporal is what we use)
  • Worked in a small, high-ownership engineering team where you set the standard rather than inherited one
Compensation and Benefits
  • Salary: Competitive base salary
  • Equity: Meaningful equity package, commensurate with experience
  • Benefits: Comprehensive medical, dental, and vision coverage
  • Agentic tooling budget
  • Lunches provided, dinners provided (after a set time)
  • Great culture and office banter

This is a salaried, onsite role located in New York City's Flatiron district. We are still a startup and love working onsite together, believing strongly that this gives us the foundation for creative problem-solving and building strong connections. You'll be at the heart of our fast-paced operations, actively contributing to a culture that values engagement, growth, and teamwork.

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