Data Engineer
Atlanta, Georgia, United States, Charlotte, North Carolina, United States, New York, New York, United States, Remote
Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams [based in New York, Charlotte, Atlanta, London, Bengaluru, and remote] work with a wide range of organizations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services.
Method is part of GlobalLogic, a digital product engineering company. GlobalLogic integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. GlobalLogic is a Hitachi Group Company.
Your role is to collaborate with multidisciplinary individuals and support the project lead on data strategy and implementation projects. You will be responsible for data and systems assessment, identifying the critical data and quality gaps required for the effective decision support and contributing towards the data platform modernization roadmap.
Responsibilities:
- Work closely with data scientists, data architects, business analysts, and other disciplines to understand data requirements and deliver accurate data solutions.
- Analyze and document existing data system processes to identify opportunities for improvement.
- Develop detailed process maps that describe data flow and integration across multiple systems.
- Create a catalog of data fields and data structures across various databases and systems.
- Compare data fields and structures to identify inconsistencies and discrepancies
- Contribute towards gap analysis and recommend solutions for standardizing data fields and structures.
- Recommend data directories to organize and manage data assets effectively.
- Propose data standards and best practices.
Qualifications:
Technical skills
- 1-3 years of experience in data engineering or a related field.
- Basic understanding of database management systems, including SQL and NoSQL databases.
- Familiarity with data warehousing concepts and ETL (Extract, Transform, Load) processes.
- Exposure to cloud data platforms, preferably Google Cloud Platform (GCP), including tools like BigQuery and Cloud Functions.
- Proficiency in Python, with some experience using PySpark or other data processing frameworks.
- Experience supporting ELT processes and data pipelines within structured architectures.
- Understanding of data validation and transformation techniques to ensure data quality for analytics.
- Basic knowledge of data modeling, data architecture, and data integration concepts.
Analytical skills
- Strong problem-solving skills with attention to detail.
- Experience in process mapping and optimization.
- Understanding of data governance frameworks and practices.
- Excellent verbal/written communication and presentation skills, with the ability to successfully articulate your work and its intent to your team and your client
- A unique point of view. You are trusted to question approaches, processes, and strategy to better serve your team.
Location
- East Coast
Why Method?
We look for individuals who are smart, kind and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points-of-view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen, and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels.
We believe in work/life balance. Seriously. We offer a ton of competitive perks, including:
- Continuing education opportunities
- Flexible PTO and work-from-home policies
- 401K matching
- Health, Dental and Vision benefits, starting on day 1
- Friday company lunches, company outings, along with beer and a lot of snacks
- Health and wellness programs
- Other location specific perks (just ask!)
Next Steps
If Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a blog, Twitter, GitHub, Dribbble or other platform.
* For information on how we process your personal data please see Privacy.
* If you are a California resident, more details on how we process your personal information can be found in the CCPA Recruitment Privacy Notice (https://www.globallogic.com/privacy/ccpa-recruitment-privacy-notice/)"
Colorado Applicants (Colorado Equal Pay for Equal Work Act Disclosure): The starting salary range for this role to be performed in Colorado is estimated to be between $80,000 to $125,000 annually. This salary range is specific to Colorado residents only, and provided as a general estimate. The amount offered may be higher or lower. Method takes many factors into making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.
New York City Applicants (New York City Local Law 32; Pay Transparency Law): The starting salary range for this role to be performed in New York City is from $80,000 to $125,000. This salary range is specific to New York City residents only, and provided as a general, good faith estimate. The amount offered may be higher or lower. Method takes many factors into making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.
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Job Profile
Collaborative environment Company outings Continuing education Continuing education opportunities Diverse teams Flexible PTO Health and wellness programs Health, Dental and Vision benefits Opportunity for growth Vision Benefits
Tasks- Assess data systems
- Collaborate on data strategy
- Create data catalogs
- Develop process maps
- Identify data gaps
- Recommend data standards
Analytics BigQuery Cloud Cloud Functions Communication Data Data Architecture Data engineering Data Governance Data Integration Data Modeling Data Quality Data Validation Data Warehousing Design Engineering ETL Experience design GCP Google Cloud Google Cloud Platform Governance Innovation NoSQL Presentation Process Mapping PySpark Python SQL
Experience1-3 years
Education TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9