Data Operations Engineer
Welocalize
- Location
- Mexico
- Posted
Data Operations Engineer at Welocalize: Develop and maintain robust ETL processes, scalable data pipelines, and reliable data transformations for BI and analytics purposes.
Remote Jobs
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- Location
- United States of America
- Posted
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Data Operations Specialist
Uberall
- Location
- Philippines
- Posted
Data Operations Specialist at Uberall: Provide expert support to clients on location data, perform data manipulation tasks, and deliver audits to maintain accuracy and quality standards.
Data Operations Specialist
Uberall
- Location
- Philippines
- Posted
Data Operations Specialist at Uberall: Join our team and provide expert location data support to clients, with opportunities for growth and development in a mission-driven culture.
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Welocalize
- Location
- Spain
- Posted
Data & Operations intern in Barcelona, Spain - develop knowledge and tools with mentorship, support sourcing social media campaigns and internal projects.
Project Specialist (Data Operations)
Uberall
- Location
- Philippines
- Posted
Join Uberall as a Project Specialist (Data Operations) and contribute to their location marketing platform. Collaborate with internal teams, manage large data sets, and ensure accuracy and integrity of the platform.
Project Specialist (Data Operations)
Uberall
- Location
- Philippines
- Posted
Join Uberall as a Project Specialist (Data Operations) and contribute to their location marketing platform. Collaborate with internal teams, manage large data sets, and ensure accuracy and integrity of the platform.
Senior Data Operations Specialist
Uberall
- Location
- Philippines
- Posted
Senior Data Operations Specialist at Uberall: Lead data management processes, improve workflows, and contribute to team development in a mission-driven company with flexible work options.
Sr Manager, Salesforce Data Operations
Gitlab
- Location
- United States of America
- Posted
- Salary Range
- 111k - 238k USD
Lead Salesforce Data Operations at GitLab, manage territory operations, data enrichment, and cross-functional collaboration to optimize sales processes in a fully remote environment with competitive benefits.
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Reka
- Location
- Singapore
- Posted
Join Reka as a Data Engineer to build scalable data pipelines, collaborate with researchers and engineers on cutting-edge AI projects, and contribute to the development of multimodal foundation models using tools like Python, Hadoop, Spark, AWS, Azure, Google Cloud, Docker, and Kubernetes. Enjoy benefits including 4 weeks paid leave, visa support, and comprehensive healthcare.
Data Engineer
Yuno
- Location
- Chile
- Posted
Data Engineer at Yuno: Design & build scalable data pipelines, collaborate with teams, & drive innovation in payment infrastructure.
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Pagos
- Location
- Croatia
- Posted
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Data Engineer
Red Canary
- Location
- United States of America
- Posted
- Salary Range
- 117k - 135k USD
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Data Engineer
Eneba
- Location
- Lithuania
- Posted
- Salary Range
- 48k - 72k EUR
Data Engineer at Eneba: build data pipelines, collaborate with ML engineers, and improve internal processes.
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StackAdapt
- Location
- Canada
- Posted
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Blockchain Data Engineer
Nethermind
- Location
- Anywhere in the world
- Posted
Extract on-chain data from PoS networks, design scalable blockchain indexed platforms, assist in data analysis, build cloud infrastructure, interact with product teams to deliver applications. Requires expertise in blockchain technologies, programming languages like Python/JavaScript/Golang, distributed systems, APIs, and cloud infrastructure.
Lead Data Engineer
Lumos
- Location
- United States of America
- Posted
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Nutrafol
- Location
- United States of America
- Posted
- Salary Range
- 130k - 145k USD
Data Engineer at Nutrafol: Develop impactful data features, collaborate with cross-functional teams, and drive business decisions.
Manager - Data Engineer
Nutrafol
- Location
- United States of America
- Posted
- Salary Range
- 130k - 145k USD
Transform business requirements into technical solutions, enhance database design, and support data-driven decisions at Nutrafol as a Data Engineer. Work with cross-functional teams to gather insights and ensure high-quality data for strategic initiatives.
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- Location
- Canada
- Posted
- Salary Range
- 158k - 239k USD
Staff Data Engineer at 1Password: lead data pipeline development, optimize query performance, and build scalable services on public cloud infrastructure.
Data Operations Engineer
Welocalize
Job Location
Job Summary
Welocalize is a trusted global transformation partner that accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. As a Data Operations Engineer, you will play a key role in developing and maintaining our data ecosystem, crafting data flows from various systems to our data warehouse, and addressing data engineering activities. You will work with cross-functional teams to support the broader data strategy, collaborate with data scientists and architects, and recommend ways to improve data reliability, efficiency, and quality. With a strong sense of curiosity and inventiveness, you will enhance data systems and processes, manage complex tasks independently, and contribute effectively as part of a global team. You will have opportunities for growth and development in a fast-growing company with flexible remote work options and $4,000/year travel stipends. By joining Welocalize, you will be part of a team that delivers high-quality training data transformation solutions for NLP-enabled machine learning, blending technology and human intelligence to collect, annotate, and evaluate all content types. You will have the chance to shape the future of AI and make a meaningful impact on our clients' businesses.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
MAIN PURPOSE OF JOB
The Data Operations Engineer is a key player in the development and maintenance of our data ecosystem, specifically as it relates to BI, Analytics and business operations. This professional specializes in crafting data flows from various key systems to our data warehouse, underscoring the importance of actionable data analytics applications. They also address a variety of data engineering activities, bridging the organization’s array of third-party and in-house developed systems to facilitate key initiatives, streamline business operations, and ensure data quality and accessibility.
MAIN DUTIES
The following is a non-exhaustive list of responsibilities and areas of ownership of a Data Engineer:
•Leveraging an understanding of business requirements and desired outcomes, build and maintain robust ETL processes, integrating key systems to funnel data effectively into our data warehouse for BI and analytics purposes.
•Develop and maintain scalable and reliable data pipelines that cater to operational and analytical needs, while adhering to our overall data strategy.
•Provide support for data transformation and migration, aligning with the dynamic needs of the business and operational requirements.
•Engage with a range of data engineering tasks, from constructing datasets to complex data analysis to preparing data sets for prescriptive and predictive modeling, ensuring adaptability across various interconnected systems.
•Collaborate effectively with other technical teams to support the broader data strategy, including close interaction with data scientists and architects to realize data-driven initiatives.
•Recommend and implement ways to improve data reliability, efficiency, and quality, promoting best practices in data management.
KEY COMPETENCIES REQUIRED FOR THIS ROLE
Customer Service
- Proficiency in issue resolution and escalation management, with an emphasis on maintaining high service quality.
Innovation
- A strong sense of curiosity and inventiveness in enhancing data systems and data flow processes.
Quality
- A self-starter with a commitment to producing high-quality work.
- Diligence in verifying data and avoiding assumptions to ensure accuracy and integrity.
- Ownership and accountability for deliverables, with a focus on continuous improvement.
Global Teamwork
- Proven ability to manage workload independently and contribute effectively as part of a global team.
- Self-sufficient in managing complex data-related tasks.
- Collaborative approach to working with cross-functional teams, reflecting a global perspective.
