Data Engineer

Location: 100% Remote

Overview: Every Turnberry consultant belongs to a practice, an internal group of consultants and leaders with shared experience and expertise. Each of these practices aligns to one of the core services Turnberry offers to clients. As a Data Engineer, you will join Turnberry's Data Strategy and Intelligence practice and service. This service provides insights into company data, advanced analytics solutions, robust data governance, and tailored solutions for specific data challenges.

Responsibilities

• Design, develop, and implement automated ETL pipelines to extract data from various sources, transform it according to business requirements, and load it into data warehouses or data lakes
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure the ETL processes meet their needs
• Optimize ETL processes for performance and scalability, ensuring efficient handling of large datasets
• Monitor and maintain ETL workflows to ensure data accuracy, integrity, and availability
• Troubleshoot and resolve data issues, identify root causes and implement long-term solutions
• Document ETL processes, data flow diagrams, and technical specifications to ensure clarity and maintainability
• Stay updated with the latest trends and technologies in data engineering and ETL automation, proposing improvements and innovations as appropriate
• Implement data quality checks and validation procedures to ensure data consistency and reliability
• Participate in code reviews, provide feedback, and adhere to best practices in software development and data engineering

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, Master’s degree is a plus
• Proven experience as a Data Engineer, with a focus on ETL automation
• Proficiency in ETL tools and technologies such as Apache NiFi, Talend, Informatica, or equivalent
• Strong programming skills in languages such as Python, SQL, and Java
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services
• Knowledge of data warehousing concepts and technologies, such as Snowflake, Redshift, BigQuery, or similar
• Familiarity with data modeling, data architecture, and database design principles
• Experience with version control systems, such as Git
• Strong problem-solving skills and the ability to work independently as well as in a team environment
• Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders

Preferred Qualifications

• Experience with big data technologies such as Hadoop, Spark, and Kafka
• Knowledge of data visualization tools like Tableau, Power BI, or Looker
• Familiarity with machine learning and AI concepts and how they integrate with data engineering

The salary range for this role is $80,000 to $160,000 or the hourly equivalent. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Turnberry Solutions offers benefits such as a comprehensive healthcare package (medical, dental, vision), disability and group term life insurance, health and flexible spending accounts, a utilization bonus, 401(k) with match, flexible time off for salaried employees, parental leave for salaried employees, and flexible work arrangements (all benefits are subject to eligibility requirements). No matter where or when you begin a career with Turnberry, you'll find a far-reaching choice of benefits and incentives.

At Turnberry, inclusion is one of our core values. We are fully invested in and focused on hiring and growing a diverse team of high performers. We're committed to creating a positive and connected work environment for all. We believe that uniqueness in ideas, experiences, and backgrounds make us a better Turnberry: Turnberry is an Equal Employment Opportunity/Affirmative Action employer, and recruits, employs, trains, compensates, and promotes regardless of age, ancestry, family medical or genetic information, gender identity and expression, marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics.