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dataroles

Big Data Lead

Mindlance Open · verified Oct 24, 2026
On-site Tampa Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Mindlance. Tampa · full-time · no salary stated · we estimate $142,500–$193,650 across the United States.

Estimated pay

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

$142,500 – $193,650
What the middle half of senior data engineering roles in the United States paid, among postings that did state a salary.
Worked out from 470 postings that stated pay, median $162,500. Last updated Oct 24, 2026.
RoleData Engineering
SenioritySenior
LocationTampa
WorkplaceOn-site
EmploymentFull-time
PostedMay 26, 2017 · 9y ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and support big data solutions, using database technologies and hands-on data experience
  • Use Java, object-oriented concepts and interfaces in development work
  • Handle Linux command-line work and configurations, drawing on operating-system, networking and filesystem knowledge
  • Support Hadoop-based systems and use relevant ecosystem tools such as Sqoop, Flume, Talend or Hive

What you bring

  • Four to seven years of experience in big data work within the financial area
  • Strong database experience and practical skills working with data
  • Knowledge of Java, object-oriented programming, interfaces and Linux or Unix
  • Background in a support environment and experience with at least one Hadoop technology

Who this fits

This senior role suits someone who can take initiative independently and clearly explain technical issues in writing and conversation. The job is based onsite in Tampa and combines development with support.

From the employer

Mindlance is a national recruiting company which partners with many of the leading employers across the country. Feel free to check us out at http://www.mindlance.com

Job Title: Big Data Lead

Location: Tampa, FL

Duration: Full Time


Looking for a Developer / Support resource with experience in BigData technologies working in Financial area.

Primary Skills:

Experience in Database technologies & sound experience in handling & working with data

Should be conversant with OOPs concepts , Java technologies, interfaces

Should have good awareness of Linux / Unix technology and should be comfortable using commandline as well as complex Linux activities (Linux configurations)

Should have good knowledge about operating Systems, networking , filesystem , database

Experience on any of the Hadoop technologies.

Experience on NOSQL databases like MongoDB, HDFS also an added plus.

Experience in Hadoop Eco system components like Sqoop / Flume / Talend - BigData / Hive (any of them)

Experience in Support environment

Total Experience Range: 4yrs to 7yrs

Soft Skills:

Should be able to drive initiatives independently.

Should be a Go Getter and independent.

Pro-active, and have good communication skills to articulate technical issues, concepts in email and verbal forms.

Should be independent and able to generate ideas & own initiatives

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.