Data Engineer, Sr

About The Company
Team Sparq is a forward-thinking technology solutions provider dedicated to fostering high-quality careers within the tech industry. Our mission is to support clients in accelerating their digital transformation journeys by leveraging innovative technologies and best practices. We pride ourselves on cultivating an inclusive and equitable workplace environment that promotes diversity, equal opportunity, and professional growth across all levels of our organization. Our commitment extends beyond project delivery to creating a culture where talent thrives, ideas flourish, and careers advance in a collaborative and supportive setting.

About The Role
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will possess expertise in either Snowflake or Matillion, along with proficiency in DBT and the Microsoft Data Stack, including Azure SQL Database, Azure Data Factory, and Azure Synapse Analytics. As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining scalable, high-performance data pipelines and ETL processes that support our clients' data-driven initiatives. You will play a pivotal role in providing technical leadership, guiding junior team members, and ensuring the integrity and efficiency of data solutions across various projects.

This role offers the opportunity to work in an agile environment, collaborating with cross-functional teams to gather requirements, develop data models, and implement innovative data solutions. You will also stay abreast of industry trends and advancements, serving as a subject matter expert in your domain. Your contributions will directly impact our clients' ability to leverage data for strategic decision-making, making this an exciting opportunity for a motivated professional eager to make a tangible difference in the technology landscape.

Qualifications

• 5+ years of experience in data engineering, with a focus on cloud-based data platforms
• Hands-on experience with Snowflake or Matillion
• Proficiency in DBT and the Microsoft Data Stack, including Azure SQL Database, Azure Data Factory, and Azure Synapse Analytics
• Strong SQL and Python skills for data manipulation and transformation
• Experience with other cloud platforms such as AWS or GCP is a plus
• Excellent problem-solving and troubleshooting skills
• Ability to communicate effectively with technical and non-technical stakeholders
• Prior leadership or mentorship experience is highly desirable
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities

Responsibilities

• Design, develop, and implement scalable and high-performance data pipelines using Snowflake or Matillion, along with DBT and the Microsoft Data Stack
• Collaborate with cross-functional teams to gather requirements, define project scope, and develop data models
• Provide technical leadership and mentorship to junior data engineers, promoting best practices and coding standards
• Conduct code reviews to ensure quality, performance, and adherence to industry standards
• Troubleshoot, optimize, and maintain existing data pipelines to enhance performance and reliability
• Create comprehensive technical documentation, including architecture diagrams, design documents, and implementation guides
• Stay informed about industry trends and emerging technologies to continuously improve data solutions

Benefits

• Opportunity to collaborate with a diverse and talented team in a creative environment
• Progressive career growth and advancement opportunities
• Continuous professional development through training, mentorship, and certification programs
• Exposure to modern technologies across various industries in an agile setting
• Flexible work arrangements including remote, onsite, or hybrid options
• Competitive salary with bonus potential
• Robust benefits package, including matching 401(k) plan and substantial PTO
• Tuition reimbursement to support ongoing education and skill development

Equal Opportunity

Team Sparq is committed to creating an inclusive workplace that values diversity and equal opportunity. We do not discriminate based on age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic. We believe in fostering a workplace where everyone can thrive and contribute to our collective success.