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Big Data Developer(Java Background)

Sonoma Consulting Inc. Open · verified Oct 24, 2026
On-site Phoenix Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Sonoma Consulting Inc. Phoenix · full-time · no salary stated · we estimate $112,500–$160,000 across the United States.

Estimated pay

Sonoma Consulting Inc. has not published a salary for this role. The figure below is our estimate, not theirs.

$112,500 – $160,000
What the middle half of mid-level data engineering roles in the United States paid, among postings that did state a salary.
Worked out from 386 postings that stated pay, median $134,547. Last updated Oct 24, 2026.
RoleData Engineering
SeniorityMid-level
LocationPhoenix
WorkplaceOn-site
EmploymentFull-time
PostedJun 9, 2017 · 9y ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and tune Hadoop ETL jobs, including work that improves their performance
  • Use Java MapReduce and Hadoop concepts to deliver data engineering work
  • Work with Pig, Hive, HBase or Oozie, plus a reporting tool such as Tableau
  • Apply Cassandra or MongoDB experience and Unix skills across project work

What you bring

  • At least seven years of IT experience and a Java background spanning two to three years
  • A bachelor’s degree or foreign equivalent, or progressive specialty experience in place of education
  • Hands-on Hadoop, Java MapReduce, Unix and NoSQL experience, with ETL optimization work
  • Completed major projects using the relevant technologies and strong communication skills

Who this fits

This is a mid-level, full-time role based onsite in Phoenix. You need to be a U.S. citizen or hold a green card; sponsorship is unavailable.

From the employer

Company Description


Halo Group is a premier provider of IT talent. We place technology experts within
the teams of the world’s leading companies to help them build innovative
businesses that keep them one step closer to their customers and one step
ahead of the competition. We offer a meaningful work environment for
employees, attractive and interesting engagements for consultants, and cutting-edge
digital innovation for our customers.

We delight in helping our customers execute their digital vision. Big projects or
small, Halo Group knows that by combining the highest quality talent with our
unwavering support, we will become an invaluable extension of the team. Halo
Group's experienced consultants in Detroit, Atlanta and Dallas specialize in all
areas of product/project governance, UX/UI, multi-platform applications, quality
assurance/testing, cloud computing, and data analytics.

Since its inception, Halo Group has been recognized for numerous awards, including:

- INC 5000
- Future 50
- 101 Best and Brightest
- Michigan 50 Companies to Watch
- Goldline Research - “Most Dependable Companies”
- Ernst & Young - “Entrepreneur of the Year” Finalist

1. Perfect BD & Hadoop concepts
2. Good command on Unix
3. Should have a Java Background of atleast 2 to 3 years
4. Should be good in Java Map Reduce
5. Should have idea of Big Data tools Pig, Hive, HBase, Oozie
6. Should be aware of atleast one reporting tool using BD – like Tableau, Platfora etc…
7. Should have knowledge and exposure to NoSQL databases (either Cassandra or MongoDB)
8. Should have experience in optimizing Hadoop ETL jobs
9. Should have executed major projects covering above technologies

10. Excellent communication skills

- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also
consider three years of progressive experience in the specialty in lieu of every year of
education.
- At least 7 years of IT experience.

** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time.
This is a Full-Time / Permanent job opportunity.
Only US Citizen and Green Card Holder can apply.
** All your information will be kept confidential according to EEO guidelines.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.