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Blackbird.AI helps organizations discover emergent threats and stay one step ahead of real-world harm through our AI-powered Narrative and Risk Intelligence Platform. Our commitment is to prioritize safety and security, providing the tools to identify potential risks and ensure a safer environment proactively. No matter the job or where it’s located, we’re all connected by a shared vision: To lead and enhance the landscape of risk intelligence.
As a Senior Data Engineer reporting to the Director of Engineering, Data Platform, you will not only optimize data pipelines for our advanced real-time streaming cloud-hosted analytics platform but also lead the development of new features and capabilities. Your role will be pivotal in shaping the future of our platform, offering the chance to solve some of the most challenging data problems in the industry.
As the Senior Data Engineer, you’ll have the chance to:
Desirable Skills:
We’ve outlined specific skills, experience, and requirements for this position, but don’t stress if you don’t meet every single one. Our Talent Team is dedicated to discovering exceptional individuals, and they might identify a relevant aspect of your background that suits this role or another opportunity within Blackbird.AI.
This updated job description highlights the seniority and leadership expectations while maintaining the core responsibilities and qualifications of the Data Engineer role. It also emphasizes the opportunity to be part of a team focused on solving complex and significant data challenges.
If you have passion for the role, please still apply.
Why you’ll love working here:
Pay Transparency:
For individuals assigned and/or hired to work in New York, Blackbird.AI is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to New York. It takes into account the wide range of factors that are considered in making compensation decisions, including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Blackbird.AI, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current compensation range for this position is expected to be $150-$200,000. This range may vary for positions outside of New York and as it has not been adjusted for the applicable geographic differential associated with the location where the position may be filled.
Regardless of location, candidates can expect during the first few conversations with Blackbird.AI’s Talent Team and Hiring Managers to share any approved budget.
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Equal Opportunity Employer
Full Time
$130k-159k (estimate)
02/07/2024
05/03/2024
blackbird.ai
Rochester, NY
<25
The job skills required for Data Engineer (Senior / Principal) include Python, Data Engineering, Big Data, Computer Science, Futures, Leadership, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer (Senior / Principal). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer (Senior / Principal). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer (Senior / Principal) positions, which can be used as a reference in future career path planning. As a Data Engineer (Senior / Principal), 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 Data Engineer (Senior / Principal). You can explore the career advancement for a Data Engineer (Senior / Principal) below and select your interested title to get hiring information.
If you are interested in becoming a 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 Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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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 Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Oil changes are an essential component of preventative maintenance.
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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.