Teradata empowers enterprises to turn intelligence into autonomous action, grounding AI agents in deep business context and trusted data. As AI agents multiply, Teradata is the context foundation, governance layer, and performance backbone that companies need now. The Teradata Autonomous Knowledge platform puts AI into production across cloud, on-premises, and hybrid environments. Learn more at Teradata.com.
Rating Reviews
Rating is calculated based on
11
reviews and is evolving.
Pros: I really appreciate the learning environment here. As a Software Engineer, I've had tons of chances to work with cutting-edge data analytics and cloud technologies. My colleagues are super skilled, and I always feel supported in taking on new challenges to expand my technical abilities. It's a stable company in the IT sector, which offers pretty good job security and work flexibility. You can really build a strong career in data here.
Cons: Sometimes, the internal processes can feel a bit slow, which means getting new ideas approved or features pushed out takes longer than I'd like. Career progression isn't always the fastest, so you need to be proactive about seeking out growth opportunities. Communication between different departments could also be smoother.
Advice to Management: I'd suggest leadership focus on streamlining internal approval processes to accelerate product development cycles. Also, improving cross-departmental communication would help align teams better and reduce redundant efforts.
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Pros: My immediate managers were usually solid. They tried their best to support us, especially with the hybrid model. There's a decent benefits package too, and the work itself in data warehousing is challenging.
Cons: Upper leadership can be a real issue. It feels like they don't always understand the engineering challenges we face. Decision-making is slow, and there's a lack of clear strategic vision for the future of cloud analytics. That makes it tough.
Advice to Management: Seriously, connect more with the teams doing the actual work. Get a clear, actionable strategy for the future of Teradata's products. Transparency helps a lot.
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Pros: The remote work flexibility is a huge plus, really helps with personal life. As a Data Engineer, I generally stick to standard 40-hour weeks most of the time. It's a solid setup for those in the data warehousing industry.
Cons: There are definitely crunch times with big project deadlines, and you'll put in extra hours. Sometimes communication for these spikes could be clearer from leadership, making it tough to plan personal time.
Advice to Management: Try to give more heads-up on demanding project timelines. It would help everyone manage their schedules better.
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What is Teradata's policy on remote work and hybrid arrangements for employees in the data analytics industry?
No answers yet.
What is Teradata's policy on remote work for data analytics roles in the US?
No answers yet.
What is the typical salary range for a Data Engineer at Teradata, especially for someone with 5 years of experience in the US?
No answers yet.
What is Teradata's policy on remote work for data engineering roles in San Diego?
Teradata offers a hybrid work model, allowing flexibility for roles like data engineering. Employees in locations like San Diego can typically work from home a few days a week, balancing in-office collaboration with remote productivity.
What is Teradata's policy on remote work for data analytics roles, and how flexible is it for employees in the San Diego area?
Teradata offers hybrid work arrangements, allowing employees to blend remote and in-office work. For roles like data analysts in San Diego, the specific hybrid model can vary, but generally supports a good work-life balance.
What is the typical salary range for a Senior Data Engineer at Teradata in San Diego, California?
For a Senior Data Engineer role at Teradata in San Diego, salaries generally range from $130,000 to $170,000 annually, depending on experience and specific project responsibilities. This range reflects the competitive market for specialized data engineering talent in the tech industry.
What is the typical work environment like for a data engineer at Teradata, especially in terms of collaboration?
The work environment for data engineers at Teradata generally emphasizes collaboration and knowledge sharing. Teams often use agile methodologies, facilitating regular interaction and collective problem-solving on complex data solutions.
What is Teradata's policy on remote or hybrid work for roles like data engineers in the US?
Teradata offers hybrid work arrangements for many roles, including data engineering positions across the US. Employees typically have flexibility to work remotely several days a week, with an expectation to be in the office for team collaboration and key meetings as needed.
