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Blockworks is Hiring a Senior Data Engineer Near New York, NY
Who You Are:Software engineering is your passion and you have special talents focused on data architecture, design and API development. You are a player-coach and a natural leader who understands the technical and human elements that go into great software design. You have a results-oriented attitude and a passion for delivering flawless releases and developing digital product pipelines (CI/CD pipelines). You have a proven track record facilitating engineering teams to increase productivity and quality.
You're excited at the possibility of helping design and develop our data pipelines as well as leading all of our data-related projects and strategies for Blockwork's suite of projects. You love moving quickly in a fast-paced start-up, but you also bring intentionality, sustainability and scalability to your approach as an engineer.
What You’ll Do:As our Senior Data Engineer, you'll be our first data engineer and directly responsible for leading the creation and execution of our data models and strategies that feed our product. You'll work collaboratively with other members of the engineering team to design, develop, implement, and evolve our data pipeline and API strategies and approaches. Every day will look a little different, but in general, you will do things like:
- Own Data Sourcing Pipelines: You'll be responsible for helping to architect our data warehgousing, ingestion and sourcing strategy, working with multiple SDKs to aggregate data from various sources into Blockwork's own data warehouse.
- Design and Implement ETL Solutions: You'll be responsible for implementing our overall ETL approach, including accessing & setting up blockchain nodes to pull from, sourcing data from 3rd parties, and modeling our internal schemas across our PostgreSQL database(s)
- Grow Shared Knowledge: You'll help provide technical leadership, guidance, and assistance to the team in the implementation of established architectures and designs.
- Drive Operational Efficiency: You'll be constantly looking for opportunities to improve data workflows and reliably automate routine tasks.
- Cross-Functional Collaboration: You'll work with other teams across Blockworks, including Research, Product, and Engineering, to lead initiatives and move collaborations forward.
What You’ve Done Before:You have at least 4 (but ideally more) years of hands-on experience with data modeling, schema design, data operations, and data warehousing. During that time, you've personally built backend systems at scale with a focus on data processing and ingestion. You're an ace at Typescript, Go, and/or Python, and you bring incredibly strong expertise in SQL (ideally Postgres, dbt, and Hypertables). You have deep experience creating data warehouses using Timescale, Snowflake, and/or BigQuery, and you also bring experience using DevOps tools and solutions like Docker, CI/CD, and AWS.
It’d Be Great If You’ve Done This:Experience and demonstrated success in crypto, web3, startup or incubator environments will move you to the top of the list. Having a background in designing, building and managing microservices will also set you apart from other candidates. If you have any significant experience in security, privacy, and scalability, we'd love to hear about that, too.
Salary:This is a full time exempt position with an expected salary of $200,000/year.
Benefits:
- Commitment to an open, inclusive, and diverse work culture
- Remote first organization with an office in NYC for you to utilize as you please
- 14 weeks of fully paid parental leave
- Fully paid medical, dental, and vision insurance for you a significant portion covered for your dependents
- 401(k) plan
- Remote work-station stipend
- Learning stipend
- Team happy hours and outings (even while remote!)
- Generous vacation and holiday policy
- Commuter benefits
Blockworks is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Compensation Range: $200K
Job Summary
Full Time
Business Services
$104k-132k (estimate)
07/14/2024
08/11/2024
tickle.dev
BROOKLYN, NY
25 - 50
2020
JASON YANOWITZ - CO-FOUNDER
<$5M
Business Services
Related Companies
The job skills required for Senior Data Engineer include Problem Solving, Initiative, Leadership, Collaboration, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Engineer job description and responsibilities
The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
03/09/2022: Billings, MT
The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.
01/05/2022: Melbourne, FL
Create architecture for real-time, big data applications with minimal maintenance effort.
03/23/2022: Benton Harbor, MI
Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.
01/22/2022: Greenville, MS
Provides successful deployment and provisioning of data solutions to production or other required environments.
01/12/2022: Dothan, AL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
02/06/2022: Providence, RI
Earn a bachelor’s degree related to data engineering and begin working on projects.
02/16/2022: Denver, CO
Consider pursuing additional professional engineering or big data certifications.
03/06/2022: Raleigh, NC
Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
01/24/2022: Abilene, TX
Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
01/02/2022: New York, NY
Step 3: View the best colleges and universities for Senior Data Engineer.
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