Lead Data Engineer

Ottomatik.io; East Lindsey; Remote; USD 110,000 - 150,000; Full time

Job summary

A leading company in data infrastructure is seeking a Lead Data Engineer with expertise in data pipeline development and scalable solutions. The role involves working with cross-functional teams to optimize data processes, and requires advanced knowledge in programming and cloud platforms. This remote opportunity offers unlimited PTO and a competitive salary.

Benefits

Unlimited PTOs

Qualifications

• 3+ years of experience in data architecture-related fields.
• 5+ years in custom ETL design and maintenance.
• Advanced proficiency in programming languages like Python.

Responsibilities

• Develop and support data pipelines aligned with business strategies.
• Design scalable data warehousing and build ETL pipelines.
• Lead discovery sessions to understand data requirements.

Skills

Data analysis

Data modeling

Data integration

ETL design

Python

Object-Oriented Programming

SQL database design

Cloud Platforms

CI/CD processes

Agile/Scrum methodology

Education

Bachelor’s or Master’s Degree in Computer Science

Information Systems

Tools

AWS

Google Cloud

GitHub

GitLab

Snowflake

Redshift

AirFlow

Tableau

Kafka

Kinesis

Job description

Join to apply for the Lead Data Engineer role at Ottomatik.io

6 days ago Be among the first 25 applicants

Hi there! We are South and our client is looking for a Lead Data Engineer.

Note To Applicants

• Eligibility: This position is open to candidates residing in Latin America.
• Application Language: Please submit your CV in English. Applications submitted in other languages will not be considered.
• Professional Presentation: We encourage you to showcase your professional experience by including a Loom video in the application form. While this is optional, candidates who provide a video presentation will be given priority.

Duties & Responsibilities

• Developing and supporting data pipelines that support and enable the overall strategy of expanded data programs, services, process optimization, and advanced business intelligence.
• Designing and developing scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid).
• Leading data discovery sessions with business teams, including product owners, data analysts, and cross-team technologists to understand enterprise data requirements for analytics projects.
• Ensuring proper testing and monitoring are in place to provide trusted and reliable data from the data stack.
• Partnering with business domain experts, system analysts, data/application architects, and development teams to align data design with business strategy.
• Identifying and documenting standard methodologies, standards, and architecture guidelines.
• Assisting Business Intelligence Engineers through technical hurdles impacting delivery.
• Participating in a shared on-call rotation monitoring the health of the team’s systems.

Essential Knowledge, Skills, and Abilities

• 3+ years of data architecture related experience such as data analysis, data modeling, and data integration.
• 5+ years of experience in custom ETL design, implementation, and maintenance.
• Advanced knowledge of programming languages (e.g., Python and Object-Oriented Programming).
• Hands-on experience with SQL database design.
• Experience working on Cloud Platforms (AWS or Google).
• Experience with CI/CD processes and source control tools such as GitHub and GitLab.
• Experience working with relational databases (Snowflake, Redshift).
• Strong knowledge of orchestration tools (AirFlow preferred), file storage systems (AWS S3, Google Cloud Storage), partitioning, and real-time data processing.
• Strong knowledge of Agile/Scrum methodology and iterative practices in a service delivery lifecycle.
• Excellent communication and interpersonal skills with the ability to influence a large organization.
• Bachelor’s or Master’s Degree in Computer Science, Information Systems, or related field.

Bonus Points

• Experience with reporting tools such as Tableau.
• Experience with event streaming tools like Kafka or Kinesis.
• Experience with subscription service products.
• Knowledge of accounting, FP&A, and marketing functions.

Schedule: Monday to Friday, between 7:30 or 8:00 AM to 4:00 or 4:30 PM - PST

Compensation: USD salary

Location: 100% remote

Time Off: Unlimited PTOs

If this opportunity sounds good to you, send us your resume!

Seniority level

• Executive

Employment type

• Full-time

Job function

• Analyst

Industries

• Data Infrastructure and Analytics

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