

Lead Data Engineer- Databricks Certified (Remote)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer with Databricks certification, offering a long-term remote contract. Key requirements include 7-10+ years in IT, proficiency in SQL and Python, ETL management, and experience with Big Data technologies like Hadoop and Spark.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 19, 2025
π - Project duration
Unknown
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Python #Big Data #AWS (Amazon Web Services) #Scala #Datasets #Hadoop #Data Storage #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Engineering #Data Analysis #Azure #Databricks #Spark (Apache Spark) #Storage #Agile #Cloud
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Simple Solutions, is seeking the following. Apply via Dice today!
Senior/Lead Data Engineer (with databricks certification)
100% REMOTE
Long-term contract role
The client is looking for a Lead or Senior Cloud Data Engineer with Databricks certification with experience working in a Big Data ecosystem. The positions will primarily be responsible for interfacing with key stakeholders and applying your technical proficiency across different stages of the Software Development Life Cycle, including Requirements Elicitation and Design. You will play an important role in creating the high-level design artifacts. You will also deliver high-quality code deliverables for a module, lead validation for all types of testing, and support activities related to implementation, transition, and warranty. You will be part of a learning culture where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:
β’ Candidates must be located in the USA mainland, and this position may require travel in the US.
β’ 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.
β’ All applicants authorized to work in the United States are encouraged to apply.
β’ At least 7-10+ years of experience in Information Technology.
β’ Data Analysis Proficiency: Skilled in analyzing data using tools like SQL and Python. Capable of assessing communication needs and evaluating the effectiveness of communication strategies
β’ Agile Methodologies: Familiarity with Agile practices for managing projects.
β’ ETL Process Management: Expertise in Extract, Transform, Load (ETL) processes to integrate data from various sources.
β’ Big Data Technologies: Familiarity with tools like Hadoop and Spark for processing large datasets.
Preferred Qualifications:
β’ Proven experience working in Databricks implementations and being certified by Databricks is required
β’ At least 2 projects of experience with Databricks
β’ Cloud Services Knowledge: Experience with cloud platforms (e.g., AWS, Azure) for scalable data storage and processing.
β’ Stakeholder Management: Skilled in managing stakeholder expectations and feedback.
β’ Business Acumen: Understanding of business processes to align projects with organizational goals.
β’ CI / CD exposure