Data Engineer

Danta Technologies; United States; Remote; USD 68,000 - 97,000; Full time

Benefits offered by this job

Healthcare insurance

Paid holidays

Paid sick leave

Job summary

Danta Technologies is seeking a Senior Data Engineer to lead end-to-end data projects in a remote environment. You will design, build, and optimize data pipelines using ADF, Databricks, SQL, Oracle PL/SQL and Python to deliver scalable analytics solutions.

You will collaborate with cross-functional teams, mentor junior engineers, and ensure data quality, governance, and performance across enterprise data platforms.

Qualifications

• Proficiency in ADF and Databricks for data integration and processing.
• Strong SQL writing skills for data manipulation and analysis.
• Experience with Oracle PL/SQL for database development.
• Python programming for automation and scripting tasks.
• Knowledge of data warehousing, ETL processes and data modeling.

Responsibilities

• Lead end-to-end technical implementation of data projects using ADF, Databricks, SQL, Oracle PL/SQL and Python.
• Design and develop efficient ETL processes for large datasets.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Optimize data workflows, troubleshoot issues, and ensure data quality and integrity.
• Implement best practices for data security, governance, and compliance.
• Provide mentoring and support to junior team members.
• Stay up-to-date with trends in data engineering and analytics.

Skills

Data warehousing concepts

ETL processes

Data modeling

Problem-solving

Communication skills

Tools

Azure Data Factory (ADF)

Azure Databricks

SQL

Oracle PL/SQL

Python

Job description

Job Title

Data Engineer

Location

Remote

Pay Rate

$60/hr on W2

The Senior Technical Lead will be responsible for leading the technical aspects of projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and maintaining data pipelines and ETL processes while ensuring high performance and scalability of data solutions.

Key Responsibilities

• Lead the end-to-end technical implementation of data projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.
• Design and develop efficient and reliable etl processes for large datasets.
• Collaborate with cross functional teams to understand business requirements and translate them into technical solutions.
• Optimize data workflows, troubleshoot issues, and ensure data quality and integrity.
• Implement best practices for data security, governance, and compliance.
• Provide technical guidance, mentoring, and support to junior team members.
• Stay uptodate with the latest trends and technologies in data engineering and analytics.

Skill Requirements

• Proficiency in azure data factory (adf) and azure databricks for data integration and processing.
• Strong skills in writing complex sql queries for data manipulation and analysis.
• Experience with oracle pl/sql for database development and management.
• Proficient in python programming language for automation and scripting tasks.
• Solid understanding of data warehousing concepts, etl processes, and data modeling.
• Ability to work in a fast paced environment and manage multiple priorities effectively.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills for effective collaboration with team members and stakeholders.

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.

The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.