Hire developers · Data engineering

Hire data engineers: Snowflake, Databricks and Informatica developers

Add data engineers, Snowflake and Databricks developers, Informatica ETL consultants, BI developers or a data architect to your team. Resumes and rates arrive within one business day, and engineers typically start in about a week.

Send the role or the problem. Get 2-3 matching profiles within one business day, or message us on WhatsApp.

10
Data roles on our rate card
From $32/hr
Indicative 2026 rates
1 day
Resumes, availability and rates
In short

You can hire data engineers from MappOptimist on a monthly rolling basis: data engineers, analytics engineers, Snowflake developers, Databricks developers, Informatica ETL consultants, Spark and Kafka pipeline engineers, Power BI and Tableau developers, data governance consultants and data architects. Our 2026 rates run from $32/hr to $85/hr by role and experience. Engineers are based in India and work remotely with your team.

01

Why teams hire data engineers from us

01

Pipelines nobody has time to fix

Broken loads, slow jobs and manual fixes eat your data team's week, and new sources wait in the queue.

02

A platform migration with no spare hands

Moving to Snowflake or Databricks, or off legacy ETL, needs people who know both sides while the old system keeps running.

03

Dashboards the business does not trust

Numbers differ between reports because definitions, quality checks and ownership were never agreed.

02

Data roles you can hire

01

Data and analytics engineers

Batch and streaming pipelines, ELT models, orchestration and data quality checks that keep your warehouse or lakehouse current.

02

Snowflake developers

Loading, modelling, performance tuning and access design on Snowflake, including migrations from on-premise warehouses.

03

Databricks developers

Spark jobs, notebooks and lakehouse pipelines on Databricks for data engineering and machine-learning workloads.

04

Informatica and ETL consultants

Informatica development and support, plus migration of existing ETL workflows to newer platforms.

05

Big data and streaming engineers

Spark and Kafka engineers for high-volume and real-time pipelines.

06

BI, governance and architecture

Power BI and Tableau developers, data analysts, data governance and quality consultants, and data architects who design the platform end to end.

03

How hiring works

  1. Step 01

    Share the requirement

    Tell us the data engineering role, skills, experience, start date, duration and the working hours you need covered.

  2. Step 02

    Profiles in one business day

    We confirm who is available and send resumes with the hourly rate for each profile within one business day.

  3. Step 03

    Interview and choose

    You interview the shortlisted engineers and approve the person you want before anyone starts.

  4. Step 04

    Onboard in about a week

    The engineer joins your tools, standups and delivery process. Average onboarding for a vetted engineer is about a week.

04

Ways to hire

01

Individual experts

One or more data engineers who join your team on a monthly rolling basis and work under your direction.

02

Dedicated team

A cross-functional squad with a team lead that owns delivery alongside you, for sustained roadmaps.

03

Managed pod

A fully managed pod that delivers a defined scope against the outcomes you set.

05

Data engineering rate card

All 10 roles from our 2026 Data Engineering & Analytics rate card, in USD per hour.

Role2-3 years4-6 years6+ years
Data Engineer$36/hr$44/hr$58/hr
Data Analyst / BI Consultant$32/hr$38/hr$44/hr
Analytics Engineer$36/hr$44/hr$58/hr
Data Architect$65/hr$75/hr$85/hr
Big Data / Pipeline Engineer (Spark, Kafka)$38/hr$46/hr$60/hr
BI Developer (Power BI / Tableau)$34/hr$40/hr$46/hr
Data Governance / Quality Consultant$36/hr$44/hr$52/hr
Snowflake Developer$38/hr$46/hr$60/hr
Databricks Developer$40/hr$48/hr$62/hr
Informatica Developer / ETL Consultant$38/hr$46/hr$60/hr

Rates are indicative and confirmed per engagement scope, duration and resource availability. Estimate your monthly and yearly cost →

06

Data skills we cover

Platforms
SnowflakeDatabricksInformaticaAWSAzureGCP
Processing
SparkKafkaETL / ELT pipelinesPythonSQL
BI and governance
Power BITableauData qualityData governance
07

Frequently asked questions

Are there discounts for longer commitments?

Yes. Flexible engagements run month to month at the standard rate with two weeks' notice. A Committed plan (3-month minimum) is about 10% below standard rates and includes priority bench access and a dedicated delivery contact. A Dedicated plan (6 months or more) is about 20% below standard rates, with a guaranteed bench reservation, an account manager and SLAs.

What if the engineer is not the right fit?

We replace the engineer at no extra cost. On the Flexible plan you can also end an engagement with two weeks' notice, so you are never locked in.

How much does it cost to hire a data engineer?

On our 2026 rate card a Data Engineer is $36/hr with 2-3 years of experience, $44/hr with 4-6 years and $58/hr with 6+ years. A Snowflake Developer is $38/hr, $46/hr and $60/hr, and a Databricks Developer is $40/hr, $48/hr and $62/hr. Rates are indicative and confirmed per engagement scope, duration and resource availability.

Can I hire a Snowflake or Databricks specialist rather than a generalist?

Yes. Snowflake Developer, Databricks Developer and Informatica Developer / ETL Consultant are separate roles on our rate card. Tell us the platform and the work, such as a migration, new pipelines or performance tuning, and we will propose engineers with that experience.

How quickly can a data engineer start?

We confirm availability and send resumes and rates within one business day. After you interview and approve an engineer, average onboarding is about a week.

Will the engineer work in our time zone?

We match working hours to your team wherever possible, so engineers can join standups and respond during your working day. Tell us the overlap you need.

What if the engineer is not the right fit?

You interview and approve everyone before they start. If a fit issue comes up, we replace the engineer quickly at no extra cost.

Hire data engineers

Tell us the platform, role, experience and start date. We will send resumes and rates within one business day.

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