About Company
Pioneering the future of data-driven solutions, Hiring.zycto offers a dynamic environment where innovation thrives. For a Lead Data Engineer, this means unparalleled opportunities to architect scalable data platforms, mentor burgeoning talent, and directly influence strategic business outcomes. We’re a forward-thinking collective committed to leveraging cutting-edge technology to solve complex challenges. Join us to shape robust data ecosystems from anywhere, collaborating with brilliant minds across diverse projects. Our culture empowers leadership, fosters continuous learning, and celebrates impactful contributions in a truly remote-first setting.
Job Description
Hiring.zycto is actively seeking a highly skilled and experienced Lead Data Engineer to join our fully remote, high-performing team. In this pivotal role, you will be instrumental in designing, developing, and optimizing our next-generation data infrastructure and pipelines. You’ll lead by example, guiding a talented team of data engineers, setting technical standards, and ensuring the robust, scalable, and secure flow of data across our various platforms.
This position demands a visionary leader with a deep understanding of modern data architectures, distributed systems, and cloud-native solutions. You will be at the forefront of tackling complex data challenges, from large-scale data ingestion and transformation to real-time analytics and machine learning enablement. Your expertise will directly impact our product development, operational efficiency, and strategic decision-making by providing reliable, high-quality data. We are looking for someone who thrives in a collaborative, fast-paced remote environment, possesses exceptional problem-solving abilities, and is passionate about mentorship and technical excellence. If you are eager to shape the future of data at a forward-thinking company and empower engineers to achieve their best work, we encourage you to apply.
You will play a crucial role in evolving our data strategy, introducing innovative technologies, and fostering a culture of continuous improvement within the data engineering function. Your contributions will directly enable our business to derive deeper insights, build more intelligent applications, and maintain a competitive edge in the market. Embrace the opportunity to make a significant impact from wherever you are, contributing to a global team that values collaboration, innovation, and personal growth. We offer a stimulating environment where your technical leadership will be recognized and rewarded, providing ample opportunities for professional development and exposure to cutting-edge tools and methodologies.
Key Responsibilities
- Lead the design, development, and maintenance of scalable, high-performance data pipelines and data warehouses.
- Architect and implement robust, secure, and efficient ETL/ELT processes using various data technologies.
- Mentor and guide a team of data engineers, fostering their technical growth and career development.
- Establish and enforce best practices for data engineering, including coding standards, testing, and deployment.
- Collaborate closely with product managers, data scientists, and software engineers to understand data requirements and deliver impactful solutions.
- Evaluate and integrate new data technologies and tools to enhance our data platform capabilities.
- Ensure data quality, integrity, and governance across all data assets.
- Troubleshoot and resolve complex data-related issues, optimizing performance and reliability.
- Drive continuous improvement initiatives for data infrastructure and engineering processes.
- Contribute to the strategic roadmap for data engineering, aligning with overall business objectives.
Required Skills
- Expertise in SQL and experience with relational and NoSQL databases.
- Proficiency in Python or Scala for data engineering.
- Strong experience with cloud data platforms (AWS, GCP, or Azure) and their data services (e.g., S3, BigQuery, Snowflake, Redshift, Azure Data Lake).
- Demonstrated experience with distributed data processing frameworks (e.g., Spark, Flink).
- In-depth knowledge of data warehousing concepts, dimensional modeling, and ETL/ELT methodologies.
- Proven leadership experience, including mentoring junior engineers and leading projects.
- Excellent communication and collaboration skills for a remote-first environment.
- Ability to work independently and manage multiple priorities effectively.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- Experience with real-time data streaming technologies (e.g., Kafka, Kinesis).
- Familiarity with data governance, data quality, and metadata management tools.
- Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
- Knowledge of machine learning data pipelines and MLOps principles.
- Contributions to open-source data projects.
Perks & Benefits
- Competitive salary and performance bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and flexible work hours.
- Dedicated budget for professional development and continuous learning.
- Home office setup allowance and technology stipends.
- Opportunities for career advancement in a rapidly growing company.
- Vibrant remote-first culture with regular virtual team events and collaboration tools.
- Contribution to cutting-edge projects with significant impact.
How to Apply
Interested candidates are encouraged to click on the application link below to submit their resume and a cover letter detailing their experience as a Lead Data Engineer and why they are a great fit for Hiring.zycto’s remote team.