I have been no lifing fc 26 manager career and I've been thinking about getting into football manager. I've been told my by my friend who has played a few of them that the new one isn't good and that I'm better off just buying and older one. Is this true?
Hello everyone,
I am a new grad with 3 internships as a software/data engineer. I have been applying to new grad positions for a bit. I had a lot of interviews during May and June, but nothing recently.
My current company, where I am interning, has told us there will be no return offers. I have currently accepted an offer at a defense company as a data engineer starting in the fall/winter, but I am trying to get a role that offers better compensation and location.
All of the technologies I have listed I have either worked with through internships, research labs, or from personal projects. I know that I can land interviews, but since responses have been drying up, I'm trying to see if there is more I can do to optimize my resume given my current experience.
I added a misc section, as I heard from some friends that it helps get past ATS systems. I don't really know how much good it does, but I will remove it if need be.
If there are any recruiters, hiring managers, or engineers who see anything off or any mistakes I'm missing in my resume, all feedback is appreciated.
Hello everyone,
I'm a 22m recent grad, and to give some context for everything, I applied to multiple grad schools and got accepted to a couple of schools that I deferred till fall 27 for statistics. I am currently interning as a data engineer, and I have a job offer lined up for the fall doing the same work at a different company. Honestly, after working as an engineer for 3 different internships, it's become very apparent to me that I don't see myself working as an engineer long-term. I would like to pursue a career as a statistician or data scientist, which I enjoyed and was happier doing while working as a research assistant throughout college.
My plan for this as of now is that I currently have 20k saved up and will probably have 23k by the time my internship is over. Start working as an engineer at this new company and try to save up 40k+ and just live frugally while I am working, then quit in fall 27 and go to grad school for 1.5- 2 years, then try to find an internship and full-time work after.
My parents would be willing to help me cover my rent in grad school, so I would just be covering my other essentials and tuition; I would have to take out a small amount of loans to cover some of the tuition. I think this might be a short-sighted decision, but I think I would come out happier and doing the type of work I actually want to do.
Is this a bad idea, or should I just say fuck it and go for it, cause I don't wanna stay an engineer?
I am a new grad and I signed an offer with booz in february before graduation and I submitted my sf-86, interviewed with my invesitgator and passed my background screening.
I completed everything in april I have just been waiting for my clearance to be adjudicated but like idk how long it will take am I just sitting here unemployed till them pretty much? The clearance I am getting is top secret. How long did it take you guys I guess I am just a bit impatient to learn when my offical start date is.
Hello all,
As my title says I am considering trying to buy a house and I am a recent college grad. I have a job offer in a low cost of living part of the us. My dad has been telling me that I should just buy a 2-3 bedroom house over there and he would cosign on the loan to help me.
For some more context I guess I will be making 80k a year and the houses he has been telling me about r 150-200k. And I will have ~25k saved myself by the time I move. Idk if it makes sense to buy house being fresh out of college as at least to me it seems like I'm commiting myself to the area. My dad has been telling me that I can find someone to rent the other room and pay like half the mortgage.
Which I know makes sense on paper but idk it feels like I am tying myself down if I do this. As I don't want to stay in this low cost of living area long term. But I guess if I had a roommate renting it could be fine and just find another to replace me when I leave. But the idea of having a house so is a intimidating.
Am I just psyching myself out and is buying house just a no brainer or do my worries have any merit?
Hello all,
As my title says I wanna make a move towards more analytics related work. For some context I am a new grad from a large state school with a degree in data science. I have done 3 internship, all as software/data engineer. As well as a full time offer for a data engineer role in the fall, And honestly I don't really enjoy the work at all I've had more interested in any of the opportunities at my job to do analytics type work
I would like to eventually become a data scientist after grad school, but analytics is the path that I think I will enjoy and thrive in most. Most of my skills is in data engineering, and science so python, Java, spark, aws, airflow, and some agentic work involving langsmith and Lang chain.
How should I be positioning myself to actually get more interviews for analytics roles. The vast majority of responses I get from my application r for engineering roles.
I, 21M, to put it bluntly, have everything I wanted, finished college, have a job offer, and have been accepted to grad school. Like I got it all, but I feel so unfuflilled like there is something more that I should be doing and everything I have done was the bare minimum.
My parents have told me that I have no reason to feel this way, and they are right, but I can't stop it. Have any of you felt this way cause there is no logical reason to feel like this? I don't understand it.
I assumed that, finally having the freedom I thought I would have after checking off the list of things I was supposed to do, it was going to be liberating. Instead, it feels more intimidating that I have to go on and choose now rather than follow a more carved-out path.
Hello All,
To provide some context, I graduated a month ago with a Bachelor's in Data Science from a large state school. I’m currently finishing up my 3rd internship as a data/software engineer. While I enjoy the space, I’ve realised I don’t want to be a pure heads-down IC engineer long-term. I have mostly just been continuing on as it was, what seemed like the standard path. But over my 3 internships, I preferred the interactions with stakeholders and customers over just staying in the weeds, so actually interacting with people as well as demoing and explaining solutions, which has led me to learn more about sales engineering.
Most of my background is in data engineer/science and general software engineering, with my internship experience being within edutech, mortgage, and real estate data solutions. I assume that going into tech or a tech-related industry would make the most sense.
I have also worked in a customer support role and as a research assistant.
I guess I have 3 main questions:
Any and all insight is greatly appreciated.
Hello All,
To provide some context, I graduated a month ago with a Bachelor's in Data Science from a large state school. I’m currently finishing up my 3rd internship as a data/software engineer. While I enjoy the space, I’ve realised I don’t want to be a pure heads-down IC engineer long-term. I have mostly just been continuing on as it was, what seemed like the standard path. But over my 3 internships, I preferred the interactions with stakeholders and customers over just staying in the weeds, so actually interacting with people, which makes me want to pursue going down the bdr/sdr path.
Most of my background is in data engineer/science and general software engineering, with my internship experience being within edutech, mortgage, and real estate data solutions. I assume that going into tech or a tech-related industry would make the most sense.
I have also worked in a customer support role and as a research assistant.
I guess I have 3 main questions:
Any and all insight is greatly appreciated.
So, in context, I ordered a Google Pixel 10 Pro that was supposed to be unlocked. The phone arrived, and I transferred over my data and everything else, which went smoothly. Then I transferred my number from my parents' phone plan from T-Mobile, and as I was going through the setup process and bought a plan, I found out that the phone I bought came carrier-locked to Verizon, and it would not let me activate the eSIM. I tried it a few times.
Now I tried to activate the eSIM on my old phone for the time being. Still, I am getting a message that my phone number and password combination is invalid to log on to the Mint mobile app. The activation code for my eSIM has already been downloaded on another phone, which should not be the case since the other phone is carrier-locked.
I am a bit frustrated. I called Mint support and had to talk to an AI chatbot that told me to call tomorrow when people were actually working. I assume they will issue me a new eSIM QR code or something so I can at least use the plan on my old phone until I can sort out what happened with the new phone I bought. Is there anything else I should be doing if anyone else here has experienced something similar?
This is my first time using eSIM, so I am new to this.
As the title says, I will be getting a Pixel 10 Pro very soon. I've always seen the phone reviews of the new Pixels when they came out, but never made the switch until now. My current phone is an iPhone 12, and I mean it's getting up there, the battery overheating and storage are pushing me towards upgrading.
Is there anything that I should know about the Pixel's flavor of Android, or any quality of life apps or features that are recommended to have on or off, or download? Idk about anything specific, but any info would be nice.
Hey everyone,
I am currently working as a data engineering intern, and my mentor has given me our team's wiki and had me read through the 3 main projects he's involved in and told me to let him know which one I find most interesting and would want to work on. I read them all and tbh they all sound interesting, and I'm not sure which would be best to go for in terms of learning.
The first one involves working on a querying system that helps our internal users get information from org docs and SharePoint. It involves working with agentic AI, semantic search, and multi-source retrieval.
The second is redoing a data pipeline and inference engine that handles predictions for a variety of business use cases. This one seems to be in line with more traditional data engineering work, MLOps, and building more traditional ML models compared to gen AI and deep learning.
The third building out a new data pipeline and ML model for the company's financial department, minimizing risk, and automating clearance decisions.
Like these all sound so interesting, and I don't know which type of work makes the most sense for a long-term career
