Hire BigQuery Developer

Q: How much does it cost to hire a BigQuery engineer?

Dev-Hire charges one all-inclusive monthly rate per engineer, covering the engineer, payroll, benefits, equipment, free replacement and our fee. You see the rate on each profile, pay month to month, and never pay setup or placement fees.

Q: Will a BigQuery engineer overlap with my data and product team?

Yes. Engineers work your hours with a stated daily overlap, which leaves time for standups, requirement discussions with analysts and reviewing results together the same day.

Q: How do you vet BigQuery engineers for data and AI work?

After a profile review and a communication check, a senior engineer interviews each candidate with live coding and a realistic data scenario. You interview the shortlist yourself, and if the engineer is not the right fit, we replace them at no extra cost.

Q: Should I hire one BigQuery engineer or a data team?

One engineer works well for a focused pipeline or model. For a wider data platform, a dedicated team can combine data engineering, analytics and machine learning skills under your lead, or a managed team adds a Dev-Hire delivery lead. Either way, the shortlist arrives within 48 hours.

Top Talent. Zero Hassle.

Skip the sourcing grind. Get 3 to 4 hand-picked developers to
interview within 48 hours, and have the right one start within a week.
Flexible hours with real overlap in your time zone.

Hire developers now

Top 1.5%

of applicants pass our vetting

98%

first-match developer satisfaction rate

< 24 hours

zero downtime for scaling or replacements

Dev-Hire developers matched to your stack

Hire remote BigQuery Developer

$8,800 Per month, all-inclusive

Dylan

Data Scientist

BigQuery
Snowflake
SQL
dbt

Dylan doesn’t just show up to build—he come to elevate. Whether it’s sprint planning, debugging, or ...

Experience

15 years

Availability

Full-Time only

View Full profile

$3,700 Per month, all-inclusive

Karun

Data Engineer

Redshift
BigQuery
Snowflake
SQL
dbt

Karun is the kind of developer who doesn't just ship code but engineers clarity, balance, and moment...

Experience

15 years

Availability

Full-Time only

View Full profile

$2,640 Per month, all-inclusive

Uddhav

Data Engineer

BigQuery
Spark
Apache Beam
Dataflow

Uddhav writes code with the precision of an architect and the flair of an artist. From backend logic...

Experience

11 years

Availability

Full-Time only

View Full profile

$2,820 Per month, all-inclusive

Naveen

Data Analyst

BigQuery
Superset
Metabase
dbt

Picture Naveen as a systems whisperer—translating abstract requirements into scalable modules and qu...

Experience

11 years

Availability

Full-Time only

View Full profile

$2,460-2,990 Per month, all-inclusive

Ahmed

AI Developer

LangChain
PyTorch
Apache Airflow
FastAPI
scikit-learn
See more

AI engineer with about three years of experience across LLM fine-tuning, evaluation and production d...

Experience

3 years

Availability

Full-Time only

View Full profile

$2,820-3,340 Per month, all-inclusive

Vedant

Data Engineer

SQL
ETL
GCP
Redshift
BigQuery
See more

Lead data engineer with nearly 12 years of experience in SAS, Python and large-scale data engineerin...

Experience

11.9 years

Availability

Full-Time only

View Full profile

$4,490-5,280 Per month, all-inclusive

Youssef

Data Engineer

Java
Apache Airflow
PySpark
Scala
Unity Catalog
See more

Senior data engineer with more than 11 years of experience building large-scale, production-grade da...

Experience

11.5 years

Availability

Full-Time only

View Full profile

$8,800 Per month, all-inclusive

Dylan

Data Scientist

BigQuery
Snowflake
SQL
dbt

Dylan doesn’t just show up to build—he come to elevate. Whether it’s sprint planning, debugging, or ...

Experience

15 years

Availability

Full-Time only

View Full profile

VIEW MOREProfiles

Our engineers come from teams at:

Testimonials

Samantha R.

CTO at Finedge

We needed skilled developers fast, and they absolutely delivered. Within a week, we had a full team onboard and coding. Great communication, smooth process, and top-tier talent, couldn't ask for more.

David M.

Head of Product at NovaTech

ncredible experience. Our project deadlines were tight, and the developers we hired ramped up instantly. It's rare to find this level of technical skill and professionalism together.

Priya K.

VP Engineering at BrightPath

The hiring process was seamless. We interviewed three developers and hired two, and both exceeded expectations from day one. Highly recommend for anyone tired of endless sourcing.

Mark L.

CEO at ZenCloud Solutions

Exceptional talent and a no-hassle process. It felt like we added full-time employees without the hiring overhead. Truly one of the best decisions we made for scaling our tech team.

View more testimonials

Dev-Hire’s talent passes a
4-stage technical screening
before reaching you.

So you only meet engineers
who fit, not just who look
good on paper.

168 vetted BigQuery engineers availablemedian 3 years with BigQueryfrom $1,940/movs ~$17,900/mo for an in-house hire

Skill guide

What to know about BigQuery

Google Cloud's serverless data warehouse, BigQuery, runs SQL over very large datasets without any infrastructure to manage. Teams use it for product analytics, marketing attribution, Google Analytics exports, and as the source for BI tools like Looker. Because pricing is tied to data scanned or reserved capacity, a good BigQuery engineer partitions and clusters tables, avoids selecting every column, and keeps an eye on query costs. Look for experience with nested and repeated fields, scheduled queries or dbt models, and loading data from streaming sources such as Pub/Sub.

From our bench

Who our BigQuery engineers are

Roles they hold

Data Engineer · 36% of them
AI Developer · 18% of them
ML Engineer · 10% of them

Often paired with

Vetting

How we vet BigQuery engineers

Every BigQuery engineer starts with a profile review of their CV, projects and past pipelines or models, then a communication check, since data work depends on explaining results to non-technical stakeholders. A senior engineer runs the technical interview, probing SQL and query tuning, pipeline design, data quality checks, model evaluation and reproducibility, with live coding and a scenario drawn from real data problems. Only the top 1.5% of applicants are accepted and published.

Typical engagements

Build or rebuild data pipelines that move product and business data into your warehouse reliably
Take a machine learning model from notebook prototype to a monitored production service
Tune slow queries, clean up data models and add quality checks so dashboards can be trusted

How to hire BigQuery Developer
through DevHire

Submit a
free request
Tell us what you're looking for: explore pre-vetted developers ready to interview.
Share your
project needs
Hop on a quick call to align on skills, timelines, and get a tailored estimate.
Meet top
candidates
Review 3 to 4 hand-picked developers within 48 hours, then interview and assess fit.
Hire and
onboard easily
We handle contracts, payments, and admin, so you focus on scaling your team with confidence.

Hire with confidence

FAQ about hiring BigQuery Developer

How much does it cost to hire a BigQuery engineer?

Dev-Hire charges one all-inclusive monthly rate per engineer, covering the engineer, payroll, benefits, equipment, free replacement and our fee. You see the rate on each profile, pay month to month, and never pay setup or placement fees.

Will a BigQuery engineer overlap with my data and product team?

Yes. Engineers work your hours with a stated daily overlap, which leaves time for standups, requirement discussions with analysts and reviewing results together the same day.

How do you vet BigQuery engineers for data and AI work?

After a profile review and a communication check, a senior engineer interviews each candidate with live coding and a realistic data scenario. You interview the shortlist yourself, and if the engineer is not the right fit, we replace them at no extra cost.

Should I hire one BigQuery engineer or a data team?

One engineer works well for a focused pipeline or model. For a wider data platform, a dedicated team can combine data engineering, analytics and machine learning skills under your lead, or a managed team adds a Dev-Hire delivery lead. Either way, the shortlist arrives within 48 hours.

What we do for you

Rigorous Talent
Screening
We handpick developers who excel in coding, communication, and collaboration. Only the best move forward.
Tailored Team
Building
We don’t rely on algorithms. Every match is human-curated based on your goals and culture.
Seamless Setup
& Admin
We handle contracts, compliance, onboarding, and payments, so you stay focused on results.
Reliable Project
Backup
Dedicated success managers, free replacements, and proactive solutions whenever you need backup.